11.14.4.5.1 Deepfakes, Face Synthesis, Fake News, Generation, Detection

STVD-FC: Large-Scale TV Dataset - Fact Checking',
2023
WWW Link. Dataset, Content Analysis. Public dataset on the political content analysis and fact-checking tasks. It consists of more than 1,200 fact-checked claims that have been scraped from a fact-checking service with associated metadata.

Cybenko, A.K., Cybenko, G.,
AI and Fake News,
IEEE_Int_Sys(33), No. 5, Sep. 2018, pp. 1-5.
IEEE DOI 1901
Cultural differences, Intelligent systems, Social network services, Psychology, Economics, Software BibRef

de Rezende, E.R.S.[Edmar R.S.], Ruppert, G.C.S.[Guilherme C.S.], Theóphilo, A.[Antônio], Tokuda, E.K.[Eric K.], Carvalho, T.[Tiago],
Exposing computer generated images by using deep convolutional neural networks,
SP:IC(66), 2018, pp. 113-126.
Elsevier DOI 1806
Digital forensics, CG detection, Deep learning, Transfer learning, Fake news BibRef

Nordrum, A.,
Forging voices and faces,
Spectrum(55), No. 5, May 2018, pp. 14-15.
IEEE DOI 1805
[News] BibRef

Reis, J.C.S., Correia, A., Murai, F., Veloso, A., Benevenuto, F., Cambria, E.,
Supervised Learning for Fake News Detection,
IEEE_Int_Sys(34), No. 2, March 2019, pp. 76-81.
IEEE DOI 1906
Feature extraction, Facebook, Data mining, IP networks, Radio frequency, Affective computing BibRef

Jin, Z.W.[Zhi-Wei], Cao, J.[Juan], Zhang, Y.D.[Yong-Dong], Zhou, J.[Jianshe], Tian, Q.[Qi],
Novel Visual and Statistical Image Features for Microblogs News Verification,
MultMed(19), No. 3, March 2017, pp. 598-608.
IEEE DOI 1702
Validation, true or not, of news posts analyzing the images used in addition to text. BibRef

Greengard, S.[Samuel],
Will Deepfakes Do Deep Damage?,
CACM(63), No. 1, January 2020, pp. 17-19.
DOI Link 1912
News item. BibRef

Strickland, E.,
Facebook takes on deepfakes,
Spectrum(57), No. 01, January 2020, pp. 40-57.
IEEE DOI 2001
They are everywhere, they are high quality. BibRef

Babaguchi, N.[Noboru], Echizen, I.[Isao], Yamagishi, J.[Junichi], Nitta, N.[Naoko], Nakashima, Y.[Yuta], Nakamura, K.[Kazuaki], Kono, K.[Kazuhiro], Fang, F.M.[Fu-Ming], Myojin, S.[Seiko], Kuang, Z.Z.[Zhen-Zhong], Nguyen, H.H.[Huy H.], Tieu, N.D.T.[Ngoc-Dung T.],
Preventing Fake Information Generation Against Media Clone Attacks,
IEICE(E104-D), No. 1, January 2021, pp. 2-11.
WWW Link. 2101
BibRef

de Oliveira, N.R., Medeiros, D.S.V., Mattos, D.M.F.,
A Sensitive Stylistic Approach to Identify Fake News on Social Networking,
SPLetters(27), 2020, pp. 1250-1254.
IEEE DOI 2007
Fake news detection, one-class SVM BibRef

Johnson, D.G.[Deborah G.], Diakopoulos, N.[Nicholas],
What To Do About Deepfakes,
CACM(64), No. 1, January 2021, pp. 33-35.
DOI Link 2103
Seeking to reap the positive uses of synthetic media while minimizing or preventing negative societal impact. BibRef

Kamboj, M., Hessler, C., Asnani, P., Riani, K., Abouelenien, M.,
Multimodal Political Deception Detection,
MultMedMag(28), No. 1, January 2021, pp. 94-102.
IEEE DOI 2104
Feature extraction, Videos, Linguistics, Visualization, Psychology, Task analysis BibRef

Caldelli, R.[Roberto], Galteri, L.[Leonardo], Amerini, I.[Irene], del Bimbo, A.[Alberto],
Optical Flow based CNN for detection of unlearnt deepfake manipulations,
PRL(146), 2021, pp. 31-37.
Elsevier DOI 2105
BibRef
Earlier: A3, A2, A1, A4:
Deepfake Video Detection through Optical Flow Based CNN,
HBU19(1205-1207)
IEEE DOI 2004
Deepfake manipulations, Optical Flow, Video forensics, CNN. convolutional neural nets, image classification, image sequences, learning (artificial intelligence), video signal processing. BibRef

Xu, Z.P.[Zhao-Peng], Liu, J.R.[Jia-Rui], Lu, W.[Wei], Xu, B.[Bozhi], Zhao, X.F.[Xian-Feng], Li, B.[Bin], Huang, J.W.[Ji-Wu],
Detecting facial manipulated videos based on set convolutional neural networks,
JVCIR(77), 2021, pp. 103119.
Elsevier DOI 2106
Digital video forensics, Deepfake, Set convolutional neural network, Set reduce BibRef

Alharbi, A.[Ahmed], Dong, H.[Hai], Yi, X.[Xun], Tari, Z.[Zahir], Khalil, I.[Ibrahim],
Social Media Identity Deception Detection: A Survey,
Surveys(54), No. 3, April 2021, pp. xx-yy.
DOI Link 2106
Identity deception, social botnet, Sybil, sockpuppet, identity theft, identity cloning, detection techniques, fake profile BibRef

Ferrara, M.[Matteo], Franco, A.[Annalisa], Maltoni, D.[Davide],
Face morphing detection in the presence of printing/scanning and heterogeneous image sources,
IET-Bio(10), No. 3, 2021, pp. 290-303.
DOI Link 2106
BibRef

Groh, M.[Matthew], Epstein, Z.[Ziv], Obradovich, N.[Nick], Cebrian, M.[Manuel], Rahwan, I.[Iyad],
Human Detection of Machine-Manipulated Media,
CACM(64), No. 10, October 2021, pp. 40-47.
DOI Link 2109
BibRef

Kim, G.[Gihwan], Ko, Y.J.[Young-Joong],
Effective fake news detection using graph and summarization techniques,
PRL(151), 2021, pp. 135-139.
Elsevier DOI 2110
Fake news detection, Graph neural networks, Summarization, Deep neural networks BibRef

Yu, P.[Peipeng], Xia, Z.H.[Zhi-Hua], Fei, J.W.[Jian-Wei], Lu, Y.J.[Yu-Jiang],
A Survey on Deepfake Video Detection,
IET-Bio(10), No. 6, 2021, pp. 607-624.
DOI Link 2110
Survey, Deepfakes. BibRef

Sabitha, R., Aruna, A., Karthik, S., Shanthini, J.,
Enhanced model for fake image detection (EMFID) using convolutional neural networks with histogram and wavelet based feature extractions,
PRL(152), 2021, pp. 195-201.
Elsevier DOI 2112
Fake image detection, Image features, Histogram based feature extraction, Convolutional neural networks (CNN) BibRef

Kong, C.Q.[Chen-Qi], Chen, B.L.[Bao-Liang], Yang, W.H.[Wen-Han], Li, H.L.[Hao-Liang], Chen, P.L.[Pei-Lin], Wang, S.Q.[Shi-Qi],
Appearance Matters, So Does Audio: Revealing the Hidden Face via Cross-Modality Transfer,
CirSysVideo(32), No. 1, January 2022, pp. 423-436.
IEEE DOI 2201
Faces, Videos, Information integrity, Face recognition, Training, Generative adversarial networks, Testing, Deepfake, cross modality, fake face BibRef

Choi, H.[Hyewon], Ko, Y.J.[Young-Joong],
Effective fake news video detection using domain knowledge and multimodal data fusion on youtube,
PRL(154), 2022, pp. 44-52.
Elsevier DOI 2202
Fake news video detection, Domain knowledge, Multimodal data, Deep neural networks BibRef

Hu, J.[Juan], Liao, X.[Xin], Wang, W.[Wei], Qin, Z.[Zheng],
Detecting Compressed Deepfake Videos in Social Networks Using Frame-Temporality Two-Stream Convolutional Network,
CirSysVideo(32), No. 3, March 2022, pp. 1089-1102.
IEEE DOI 2203
Videos, Information integrity, Feature extraction, Streaming media, Faces, Forensics, Social networking (online), Video forensics, temporality-level stream BibRef

Nguyen, V.H.[Van-Hoang], Sugiyama, K.[Kazunari], Nakov, P.[Preslav], Kan, M.Y.[Min-Yen],
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation,
CACM(65), No. 4, April 2022, pp. 124-132.
DOI Link 2204
BibRef

Zhang, X.K.[Xiao-Kang], Zhu, Y.L.[Yuan-Lue], Chen, W.T.[Wen-Ting], Liu, W.S.[Wen-Shuang], Shen, L.L.[Lin-Lin],
Gated SwitchGAN for Multi-Domain Facial Image Translation,
MultMed(24), No. 2022, pp. 1990-2003.
IEEE DOI 2204
Switches, Generators, Logic gates, Faces, Control systems, Feature extraction, Task analysis, GANs, Image translation, Attribute intensity control BibRef

Li, W.C.[Wei-Chuang], He, P.S.[Pei-Song], Li, H.L.[Hao-Liang], Wang, H.X.[Hong-Xia], Zhang, R.M.[Rui-Mei],
Detection of GAN-Generated Images by Estimating Artifact Similarity,
SPLetters(29), No. 2022, pp. 862-866.
IEEE DOI 2204
Prototypes, Generative adversarial networks, Training, Feature extraction, Testing, Optimization, Task analysis, artifact similarity estimation BibRef

Wang, Z.[Zhi], Guo, Y.W.[Yi-Wen], Zuo, W.M.[Wang-Meng],
Deepfake Forensics via an Adversarial Game,
IP(31), 2022, pp. 3541-3552.
IEEE DOI 2205
Training, Forgery, Faces, Task analysis, Predictive models, Face recognition, Robustness, Deepfake forensics, generalization ability BibRef

Amorese, T.[Terry], Cuciniello, M.[Marialucia], Vinciarelli, A.[Alessandro], Cordasco, G.[Gennaro], Esposito, A.[Anna],
Synthetic vs Human Emotional Faces: What Changes in Humans' Decoding Accuracy,
HMS(52), No. 3, June 2022, pp. 390-399.
IEEE DOI 2205
Faces, Emotion recognition, Decoding, Face recognition, Aging, Task analysis, Portable computers, Assistive technology, human-computer interaction BibRef

Pu, W.B.[Wen-Bo], Hu, J.[Jing], Wang, X.[Xin], Li, Y.Z.[Yue-Zun], Hu, S.[Shu], Zhu, B.[Bin], Song, R.[Rui], Song, Q.[Qi], Wu, X.[Xi], Lyu, S.W.[Si-Wei],
Learning a deep dual-level network for robust DeepFake detection,
PR(130), 2022, pp. 108832.
Elsevier DOI 2206
DeepFake detection, Multitask learning, Imbalanced learning, AUC optimization BibRef

Wei, P.F.[Peng-Fei], Wu, F.[Fei], Sun, Y.[Ying], Zhou, H.[Hong], Jing, X.Y.[Xiao-Yuan],
Modality and Event Adversarial Networks for Multi-Modal Fake News Detection,
SPLetters(29), 2022, pp. 1382-1386.
IEEE DOI 2206
Feature extraction, Fake news, Blogs, Image reconstruction, Generators, Social networking (online), Deep learning, multi-modal generator BibRef

Mishima, K.[Ken], Yamana, H.[Hayato],
A Survey on Explainable Fake News Detection,
IEICE(E105-D), No. 7, July 2022, pp. 1249-1257.
WWW Link. 2207
Survey, Fake News. BibRef

Juefei-Xu, F.[Felix], Wang, R.[Run], Huang, Y.H.[Yi-Hao], Guo, Q.[Qing], Ma, L.[Lei], Liu, Y.[Yang],
Countering Malicious DeepFakes: Survey, Battleground, and Horizon,
IJCV(130), No. 7, July 2022, pp. 1678-1734.
Springer DOI 2207
BibRef

Li, P.G.[Pei-Guang], Sun, X.[Xian], Yu, H.F.[Hong-Feng], Tian, Y.[Yu], Yao, F.L.[Fang-Long], Xu, G.L.[Guang-Luan],
Entity-Oriented Multi-Modal Alignment and Fusion Network for Fake News Detection,
MultMed(24), 2022, pp. 3455-3468.
IEEE DOI 2207
Feature extraction, Visualization, Task analysis, Heuristic algorithms, Social networking (online), Semantics, Sun, multi-modal BibRef

Edwards, J.[John],
Applying Signal Processing to Opposite Sides of Imaging: Separate European research projects are focusing on aspects of completely real and entirely fake images,
SPMag(39), No. 5, September 2022, pp. 18-20.
IEEE DOI 2209
[Special Reports] Neuroimaging, Brain models, Image processing, Distortion, Photography, Signal processing algorithms BibRef

Wang, R.[Renying], Yang, Z.[Zhen], You, W.[Weike], Zhou, L.[Linna], Chu, B.[Beilin],
Fake Face Images Detection and Identification of Celebrities Based on Semantic Segmentation,
SPLetters(29), 2022, pp. 2018-2022.
IEEE DOI 2210
Semantics, Faces, Detectors, Image segmentation, Forgery, Task analysis, Feature extraction, semantic segmentation BibRef

Nguyen, T.T.[Thanh Thi], Nguyen, Q.V.H.[Quoc Viet Hung], Nguyen, D.T.[Dung Tien], Nguyen, D.T.[Duc Thanh], Huynh-The, T.[Thien], Nahavandi, S.[Saeid], Nguyen, T.T.[Thanh Tam], Pham, Q.V.[Quoc-Viet], Nguyen, C.M.[Cuong M.],
Deep learning for deepfakes creation and detection: A survey,
CVIU(223), 2022, pp. 103525.
Elsevier DOI 2210
Deepfakes, Face manipulation, Artificial intelligence, Deep learning, Autoencoders, GAN, Forensics, Survey BibRef

Peng, F.[Fei], Yin, L.P.[Li-Ping], Long, M.[Min],
BDC-GAN: Bidirectional Conversion Between Computer-Generated and Natural Facial Images for Anti-Forensics,
CirSysVideo(32), No. 10, October 2022, pp. 6657-6670.
IEEE DOI 2210
Forensics, Feature extraction, Generative adversarial networks, Image color analysis, Image coding, generative adversarial network BibRef

Singhal, S.[Shivangi], Kaushal, R.[Rishabh], Shah, R.R.[Rajiv Ratn], Kumaraguru, P.[Ponnurangam],
Fake News in India: Scale, Diversity, Solution, and Opportunities,
CACM(65), No. 11, November 2022, pp. 80-81.
DOI Link 2211
BibRef

Chu, B.[Beilin], You, W.[Weike], Yang, Z.[Zhen], Zhou, L.[Linna], Wang, R.[Renying],
Protecting World Leader Using Facial Speaking Pattern Against Deepfakes,
SPLetters(29), 2022, pp. 2078-2082.
IEEE DOI 2211
Lips, Deepfakes, Feature extraction, Faces, Gold, Transformers, Detectors, Face manipulation detection, speech pattern recognition BibRef

Tan, Z.C.[Zi-Chang], Yang, Z.C.[Zhi-Chao], Miao, C.T.[Chang-Tao], Guo, G.D.[Guo-Dong],
Transformer-Based Feature Compensation and Aggregation for DeepFake Detection,
SPLetters(29), 2022, pp. 2183-2187.
IEEE DOI 2212
Feature extraction, Deepfakes, Current transformers, Frequency-domain analysis, Aggregates, Forgery, Standards, deep learning BibRef

Guo, Z.Q.[Zhi-Qing], Yang, G.[Gaobo], Wang, D.[Dewang], Zhang, D.Y.[Deng-Yong],
A data augmentation framework by mining structured features for fake face image detection,
CVIU(226), 2023, pp. 103587.
Elsevier DOI 2212
Deepfake detection, Data augmentation, Face forgery detection, Structured forgery clues BibRef

Chen, H.[Han], Li, Y.[Yuezun], Lin, D.D.[Dong-Dong], Li, B.[Bin], Wu, J.Q.[Jun-Qiang],
Watching the BiG artifacts: Exposing DeepFake videos via Bi-granularity artifacts,
PR(135), 2023, pp. 109179.
Elsevier DOI 2212
Multimedia forensics, Deepfake detection, Granularity artifacts, Multi-task learning BibRef

Chen, H.[Han], Lin, Y.Z.[Yu-Zhen], Li, B.[Bin], Tan, S.Q.[Shun-Quan],
Learning Features of Intra-Consistency and Inter-Diversity: Keys Toward Generalizable Deepfake Detection,
CirSysVideo(33), No. 3, March 2023, pp. 1468-1480.
IEEE DOI 2303
Deepfakes, Task analysis, Forgery, Faces, Feature extraction, Data models, Transformers, Deepfake detection, generalization BibRef

Zhang, Q.[Qin], Guo, Z.W.[Zhi-Wei], Zhu, Y.Y.[Yan-Yan], Vijayakumar, P.[Pandi], Castiglione, A.[Aniello], Gupta, B.B.[Brij B.],
A Deep Learning-based Fast Fake News Detection Model for Cyber-Physical Social Services,
PRL(168), 2023, pp. 31-38.
Elsevier DOI 2304
social service, fake news, fast detection, deep learning, cyber-physical space BibRef

Li, X.[Xin], Ni, R.R.[Rong-Rong], Yang, P.P.[Peng-Peng], Fu, Z.Q.[Zhi-Qiang], Zhao, Y.[Yao],
Artifacts-Disentangled Adversarial Learning for Deepfake Detection,
CirSysVideo(33), No. 4, April 2023, pp. 1658-1670.
IEEE DOI 2304
Deepfakes, Feature extraction, Forgery, Face recognition, Faces, Visualization, Training, Deepfake detection, video forensics, disentanglement learning BibRef

Liu, Y.F.[Yun-Fan], Li, Q.[Qi], Deng, Q.Y.[Qi-Yao], Sun, Z.A.[Zhen-An],
Towards Spatially Disentangled Manipulation of Face Images With Pre-Trained StyleGANs,
CirSysVideo(33), No. 4, April 2023, pp. 1725-1739.
IEEE DOI 2304
Codes, Generators, Semantics, Faces, Visualization, Space exploration, facial attribute manipulation BibRef

Hou, X.X.[Xian-Xu], Shen, L.L.[Lin-Lin], Ming, Z.[Zhong], Qiu, G.P.[Guo-Ping],
Deep generative image priors for semantic face manipulation,
PR(139), 2023, pp. 109477.
Elsevier DOI 2304
GANs, Face attribute prediction, Semantic face manipulation BibRef

Tariq, S.[Shahroz], Jeon, S.W.[So-Won], Woo, S.S.[Simon S.],
Evaluating Trustworthiness and Racial Bias in Face Recognition APIs Using Deepfakes,
Computer(56), No. 5, May 2023, pp. 51-61.
IEEE DOI 2305
Deepfakes, Face recognition BibRef

Mone, G.[Gregory],
Outsmarting Deepfake Video,
CACM(66), No. 7, July 2023, pp. 18-19.
DOI Link 2307
BibRef

Kshetri, N.[Nir], DeFranco, J.F.[Joanna F.], Voas, J.[Jeffrey],
Is It Live, or Is It Deepfake?,
Computer(56), No. 7, July 2023, pp. 14-16.
IEEE DOI 2307
BibRef

Chen, G.L.[Guan-Lin], Hsu, C.C.[Chih-Chung],
Jointly Defending DeepFake Manipulation and Adversarial Attack Using Decoy Mechanism,
PAMI(45), No. 8, August 2023, pp. 9922-9931.
IEEE DOI 2307
Deepfakes, Perturbation methods, Training, Neural networks, Detectors, Deep learning, Testing, Adversarial attack, DeepFake detection BibRef

Kshetri, N.[Nir],
The Economics of Deepfakes,
Computer(56), No. 8, August 2023, pp. 89-94.
IEEE DOI 2308
Survey, Deepfakes. BibRef

Wang, H.Y.[Han-Yi], Liu, Z.H.[Zi-Han], Wang, S.L.[Shi-Lin],
Exploiting Complementary Dynamic Incoherence for DeepFake Video Detection,
CirSysVideo(33), No. 8, August 2023, pp. 4027-4040.
IEEE DOI 2308
Mouth, Faces, Deepfakes, Forgery, Feature extraction, Visualization, Lips, DeepFake video detection, video forensics BibRef

Pang, G.L.[Gui-Lin], Zhang, B.[Baopeng], Teng, Z.[Zhu], Qi, Z.[Zige], Fan, J.P.[Jian-Ping],
MRE-Net: Multi-Rate Excitation Network for Deepfake Video Detection,
CirSysVideo(33), No. 8, August 2023, pp. 3663-3676.
IEEE DOI 2308
Deepfakes, Faces, Forgery, Feature extraction, Social networking (online), Frequency-domain analysis, longstanding inconsistency BibRef

Liu, C.[Chang], Yu, H.[Han],
AI-Empowered Persuasive Video Generation: A Survey,
Surveys(55), No. 13s, July 2023, pp. xx-yy.
DOI Link 2309
Survey, Video Generation. storyline generation, video generation, Artificial intelligence BibRef

Zhai, R.[Rui], Ni, R.R.[Rong-Rong], Chen, Y.[Yu], Yu, Y.[Yang], Zhao, Y.[Yao],
Defending Fake via Warning: Universal Proactive Defense Against Face Manipulation,
SPLetters(30), 2023, pp. 1072-1076.
IEEE DOI 2309
BibRef

Borji, A.[Ali],
Qualitative failures of image generation models and their application in detecting deepfakes,
IVC(137), 2023, pp. 104771.
Elsevier DOI 2309
Generative models, Image and video generation, Qualitative failures, Deepfakes, Image forensics, Deep learning BibRef

Liu, Y.[Yun], Wan, Z.L.[Zu-Liang], Yin, X.H.[Xiao-Hua], Yue, G.H.[Guang-Hui], Tan, A.P.[Ai-Ping], Zheng, Z.[Zhi],
Detection of GAN Generated Image Using Color Gradient Representation,
JVCIR(95), 2023, pp. 103876.
Elsevier DOI 2309
Image generative model, Generative adversarial networks, Fake image identification BibRef

Liang, Y.F.[Yu-Fei], Wang, M.M.[Meng-Meng], Jin, Y.[Yining], Pan, S.W.[Shu-Wen], Liu, Y.[Yong],
Hierarchical supervisions with two-stream network for Deepfake detection,
PRL(172), 2023, pp. 121-127.
Elsevier DOI 2309
Deepfake detection, Frequency domain, Two stream, Coarse to fine BibRef

Cai, Z.X.[Zhi-Xi], Ghosh, S.[Shreya], Dhall, A.[Abhinav], Gedeon, T.[Tom], Stefanov, K.[Kalin], Hayat, M.[Munawar],
Glitch in the matrix: A large scale benchmark for content driven audio-visual forgery detection and localization,
CVIU(236), 2023, pp. 103818.
Elsevier DOI 2310
Datasets, Deepfake, Localization, Detection BibRef

Yu, Y.[Yang], Ni, R.R.[Rong-Rong], Zhao, Y.[Yao], Yang, S.Y.[Si-Yuan], Xia, F.[Fen], Jiang, N.[Ning], Zhao, G.Q.[Guo-Qing],
MSVT: Multiple Spatiotemporal Views Transformer for DeepFake Video Detection,
CirSysVideo(33), No. 9, September 2023, pp. 4462-4471.
IEEE DOI 2310
BibRef

Seymour, M.[Michael], Riemer, K.[Kai], Yuan, L.[Lingyao], Dennis, A.R.[Alan R.],
Beyond Deep Fakes,
CACM(66), No. 10, October 2023, pp. 56-67.
DOI Link 2310
BibRef

Wu, J.H.[Jiang-Hao], Zhang, B.[Baopeng], Li, Z.Y.[Zhao-Yang], Pang, G.L.[Gui-Lin], Teng, Z.[Zhu], Fan, J.P.[Jian-Ping],
Interactive Two-Stream Network Across Modalities for Deepfake Detection,
CirSysVideo(33), No. 11, November 2023, pp. 6418-6430.
IEEE DOI 2311
BibRef

Tian, L.[Lulu], Yao, H.X.[Hong-Xun], Li, M.[Ming],
FakePoI: A Large-Scale Fake Person of Interest Video Detection Benchmark and a Strong Baseline,
CirSysVideo(33), No. 11, November 2023, pp. 6819-6831.
IEEE DOI Code:
WWW Link. 2311
BibRef

Zhang, L.[Li], Qiao, T.[Tong], Xu, M.[Ming], Zheng, N.[Ning], Xie, S.C.[Shi-Chuang],
Unsupervised Learning-Based Framework for Deepfake Video Detection,
MultMed(25), 2023, pp. 4785-4799.
IEEE DOI 2311
BibRef

Qiao, T.[Tong], Xie, S.C.[Shi-Chuang], Chen, Y.L.[Yan-Li], Retraint, F.[Florent], Luo, X.Y.[Xiang-Yang],
Fully Unsupervised Deepfake Video Detection Via Enhanced Contrastive Learning,
PAMI(46), No. 7, July 2024, pp. 4654-4668.
IEEE DOI 2406
Deepfakes, Feature extraction, Detectors, Training, Self-supervised learning, Generators, Forgery, pseudo-label BibRef

Cozzolino, D.[Davide], Nagano, K.[Koki], Thomaz, L.[Lucas], Majumdar, A.[Angshul], Verdoliva, L.[Luisa],
Synthetic Image Detection: Highlights from the IEEE Video and Image Processing Cup 2022 Student Competition [SP Competitions],
SPMag(40), No. 7, November 2023, pp. 94-100.
IEEE DOI 2311
BibRef

Guo, Z.W.[Zhi-Wei], Yu, K.P.[Ke-Ping], Jolfaei, A.[Alireza], Li, G.[Gang], Ding, F.[Feng], Beheshti, A.[Amin],
Mixed Graph Neural Network-Based Fake News Detection for Sustainable Vehicular Social Networks,
ITS(24), No. 12, December 2023, pp. 15486-15498.
IEEE DOI 2312
BibRef

Zhu, C.T.[Chun-Tao], Zhang, B.[Bolin], Yin, Q.L.[Qi-Lin], Yin, C.X.[Cheng-Xi], Lu, W.[Wei],
Deepfake detection via inter-frame inconsistency recomposition and enhancement,
PR(147), 2024, pp. 110077.
Elsevier DOI 2312
Video forensics, Deepfake detection, Inter-frame inconsistency, Image recomposition, Multi-level features BibRef

Zhou, Y.J.[Yag-Jiang], He, P.S.[Pei-Song], Li, W.C.[Wei-Chuang], Cao, Y.[Yun], Jiang, X.H.[Xing-Hao],
Generalized Fake Image Detection Method Based on Gated Hierarchical Multi-Task Learning,
SPLetters(30), 2023, pp. 1767-1771.
IEEE DOI 2312
BibRef

Liao, X.[Xin], Wang, Y.[Yumei], Wang, T.Y.[Tian-Yi], Hu, J.[Juan], Wu, X.S.[Xiao-Shuai],
FAMM: Facial Muscle Motions for Detecting Compressed Deepfake Videos Over Social Networks,
CirSysVideo(33), No. 12, December 2023, pp. 7236-7251.
IEEE DOI 2312
BibRef

Wei, L.[Lingwei], Hu, D.[Dou], Zhou, W.[Wei], Hu, S.[Songlin],
Modeling Both Intra- and Inter-Modality Uncertainty for Multimodal Fake News Detection,
MultMed(25), 2023, pp. 7906-7916.
IEEE DOI 2312
BibRef

Yu, Y.[Yang], Zhao, X.H.[Xiao-Hui], Ni, R.R.[Rong-Rong], Yang, S.Y.[Si-Yuan], Zhao, Y.[Yao], Kot, A.C.[Alex C.],
Augmented Multi-Scale Spatiotemporal Inconsistency Magnifier for Generalized DeepFake Detection,
MultMed(25), 2023, pp. 8487-8498.
IEEE DOI 2312
BibRef

Xu, Q.[Qiang], Wang, H.[Hao], Meng, L.[Laijin], Mi, Z.J.[Zhong-Jie], Yuan, J.[Jianye], Yan, H.[Hong],
Exposing fake images generated by text-to-image diffusion models,
PRL(176), 2023, pp. 76-82.
Elsevier DOI 2312
Text-to-image, Diffusion models (DM), Image forensics, Attention mechanism, Vision transformers (ViTs) BibRef

Wang, J.[Jinguang], Qian, S.S.[Sheng-Sheng], Hu, J.[Jun], Hong, R.C.[Ri-Chang],
Positive Unlabeled Fake News Detection via Multi-Modal Masked Transformer Network,
MultMed(26), 2024, pp. 234-244.
IEEE DOI 2401
BibRef

Wang, J.[Jinguang], Qian, S.S.[Sheng-Sheng], Hu, J.[Jun], Hong, R.C.[Ri-Chang],
Comment-Context Dual Collaborative Masked Transformer Network for Fake News Detection,
MultMed(26), 2024, pp. 5170-5180.
IEEE DOI 2404
Fake news, Transformers, Task analysis, COVID-19, Social networking (online), Collaboration, Visualization, social media BibRef

Soga, K.[Kayato], Yoshida, S.[Soh], Muneyasu, M.[Mitsuji],
Exploiting stance similarity and graph neural networks for fake news detection,
PRL(177), 2024, pp. 26-32.
Elsevier DOI 2401
Fake news, Graph neural network, Stance analysis, Social media, Context-based detection BibRef

Yi, M.Y.[Mu-Yang], Liang, D.[Dong], Wang, R.[Rui], Ding, Y.[Yue], Lu, H.T.[Hong-Tao],
Spammer detection on short video applications,
PRL(177), 2024, pp. 61-68.
Elsevier DOI 2401
Spammer detection, Multi-modal disinformation detection, Graph neural network BibRef

Hill, R.K.[Robin K.], Baquero, C.[Carlos],
Pondering the Ugly Underbelly, and Whether Images Are Real,
CACM(67), No. 1, March 2024, pp. 8-10.
DOI Link 2402
How proofs lead to the truth, and truth in imagery. BibRef

Chen, P.[Ping], Xu, M.[Ming], Qi, J.X.[Jian-Xiang],
DeepFake detection against adversarial examples based on D-VAEGAN,
IET-IPR(18), No. 3, 2024, pp. 615-626.
DOI Link 2402
image denoising BibRef

Xiao, Y.P.[Yun-Peng], Li, X.[Xuehong], Zhang, Q.[Qunqing], Lv, R.[Rui], Li, Q.[Qian], Wang, R.[Rong],
Spreading Mosaic: An Image Restoration-Inspired Social Rumor Propagation Model,
MultMed(26), 2024, pp. 2906-2917.
IEEE DOI 2402
Behavioral sciences, Image restoration, Predictive models, Image quality, Uncertainty, Prediction algorithms, Task analysis, topic pixelation BibRef

Lan, G.P.[Gui-Peng], Xiao, S.[Shuai], Wen, J.[Jiabao], Chen, D.S.[De-Sheng], Zhu, Y.[Yong],
Data-Driven Deepfake Forensics Model Based on Large-Scale Frequency and Noise Features,
IEEE_Int_Sys(39), No. 1, January 2024, pp. 29-35.
IEEE DOI 2403
Feature extraction, Forgery, Training, Frequency-domain analysis, Convolutional neural networks, Face recognition, Forensics, Discrete cosine transforms BibRef

Ju, Y.[Yan], Jia, S.[Shan], Cai, J.L.[Jia-Ling], Guan, H.Y.[Hai-Ying], Lyu, S.W.[Si-Wei],
GLFF: Global and Local Feature Fusion for AI-Synthesized Image Detection,
MultMed(26), 2024, pp. 4073-4085.
IEEE DOI 2403
Feature extraction, Faces, Task analysis, Image synthesis, Semantics, Generative adversarial networks, Fuses, Attention Mechanism BibRef

Ju, Y.[Yan], Jia, S.[Shan], Ke, L.P.[Li-Peng], Xue, H.F.[Hong-Fei], Nagano, K.[Koki], Lyu, S.W.[Si-Wei],
Fusing Global and Local Features for Generalized AI-Synthesized Image Detection,
ICIP22(3465-3469)
IEEE DOI 2211
Deepfakes, Fuses, Forensics, Detectors, Media, Feature extraction, Generative adversarial networks, Index Terms, Attention Mechanism BibRef

Cartella, G.[Giuseppe], Cuculo, V.[Vittorio], Cornia, M.[Marcella], Cucchiara, R.[Rita],
Unveiling the Truth: Exploring Human Gaze Patterns in Fake Images,
SPLetters(31), 2024, pp. 820-824.
IEEE DOI 2404
Gaze tracking, Semantics, Task analysis, Face recognition, Entropy, Context modeling, Visual perception, Deepfakes, gaze tracking, visual perception BibRef

Zhang, Z.[Zhen], Lv, Q.Y.[Qi-Yun], Jia, X.[Xiyuan], Yun, W.H.[Wen-Hao], Miao, G.[Gongxun], Mao, Z.Q.[Zong-Qing], Wu, G.H.[Guo-Hua],
GBCA: Graph Convolution Network and BERT combined with Co-Attention for fake news detection,
PRL(180), 2024, pp. 26-32.
Elsevier DOI 2404
Fake news detection, Graph Convolution Network, BERT, Co-attention BibRef

Liu, X.L.[Xiao-Long], Yu, Y.[Yang], Li, X.L.[Xiao-Long], Zhao, Y.[Yao],
MCL: Multimodal Contrastive Learning for Deepfake Detection,
CirSysVideo(34), No. 4, April 2024, pp. 2803-2813.
IEEE DOI 2404
Feature extraction, Deepfakes, Forgery, Data mining, Visualization, Training, Data augmentation, Deepfake detection, knowledge distillation BibRef

Yin, Z.X.[Zi-Xin], Wang, J.[Jiakai], Xiao, Y.S.[Yi-Song], Zhao, H.Q.[Han-Qing], Li, T.[Tianlin], Zhou, W.B.[Wen-Bo], Liu, A.[Aishan], Liu, X.L.[Xiang-Long],
Improving Deepfake Detection Generalization by Invariant Risk Minimization,
MultMed(26), 2024, pp. 6785-6798.
IEEE DOI 2404
Deepfakes, Risk minimization, Faces, Training, Predictive models, Forgery, Feature extraction, Deepfake detection, model generalization BibRef

Yang, R.[Rui], Deng, Z.R.[Zhen-Rong], Zhang, Y.S.[Yu-Shu], Luo, X.N.[Xiao-Nan], Lan, R.[Rushi],
4DPM: Deepfake Detection With a Denoising Diffusion Probabilistic Mask,
SPLetters(31), 2024, pp. 914-918.
IEEE DOI 2404
Faces, Training, Probabilistic logic, Noise reduction, Face detection, Signal processing algorithms, Iterative methods, lightweight model BibRef

Leporoni, G.[Giorgio], Maiano, L.[Luca], Papa, L.[Lorenzo], Amerini, I.[Irene],
A guided-based approach for deepfake detection: RGB-depth integration via features fusion,
PRL(181), 2024, pp. 99-105.
Elsevier DOI 2405
Deepfake, RGBD, Feature fusion BibRef

Hsu, L.Y.[Ling-Yuan],
AI-assisted deepfake detection using adaptive blind image watermarking,
JVCIR(100), 2024, pp. 104094.
Elsevier DOI Code:
WWW Link. 2405
Deepfake detection, Blind image watermarking, Partly sign-altered, Mixed modulation BibRef

Sun, K.[Kuiyuan], Li, X.L.[Xiao-Long], Zhao, Y.[Yao],
A keypoints-motion-based landmark transfer method for face reenactment,
JVCIR(100), 2024, pp. 104138.
Elsevier DOI 2405
Image generation, Face reenactment, Deepfake BibRef

Wang, S.[Shuai], Zhu, D.H.[Dong-Hui], Chen, J.[Jian], Bi, J.B.[Jiang-Bo], Wang, W.[Wenyi],
Deepfake face discrimination based on self-attention mechanism,
PRL(183), 2024, pp. 92-97.
Elsevier DOI 2406
Deepfake, Discrimination, Self-attention mechanism, EfficientNet BibRef

Leyva, R.[Roberto], Sanchez, V.[Victor], Epiphaniou, G.[Gregory], Maple, C.[Carsten],
Data-agnostic Face Image Synthesis Detection using Bayesian CNNs,
PRL(183), 2024, pp. 64-70.
Elsevier DOI 2406
Face synthesis, Deep fakes, Agnostic models, Anomaly detection, Computer security BibRef

Chauhan, P.S.[Preeti S.],
Deepfake: Risks and Opportunities,
Computer(57), No. 6, June 2024, pp. 141-144.
IEEE DOI 2406
Deepfakes, Artificial intelligence, Fake news, Face recognition, Identification of persons, Cloning, Ethics, Privacy, Social networking (online) BibRef

She, H.M.[Hui-Min], Hu, Y.J.[Yong-Jian], Liu, B.B.[Bei-Bei], Li, C.T.[Chang-Tsun],
Exploring Static-Dynamic ID Matching and Temporal Static ID Inconsistency for Generalizable Deepfake Detection,
IET-Bio(2024), No. 1, 2024, pp. 2280143.
DOI Link 2406
BibRef

Jeong, Y.[Yonghyun], Kim, D.[Doyeon], Kim, P.[Pyounggeon], Ro, Y.[Youngmin], Choi, J.W.[Jong-Won],
Self-supervised scheme for generalizing GAN image detection,
PRL(184), 2024, pp. 219-224.
Elsevier DOI 2408
Deepfake detection, GAN detector, Self-supervised learning BibRef

Wang, R.[Rui], Ye, D.[Dengpan], Tang, L.[Long], Zhang, Y.M.[Yun-Ming], Deng, J.C.[Jia-Cheng],
AVT^2-DWF: Improving Deepfake Detection With Audio-Visual Fusion and Dynamic Weighting Strategies,
SPLetters(31), 2024, pp. 1960-1964.
IEEE DOI 2408
Feature extraction, Transformers, Visualization, Training, Faces, Deepfakes, Forgery, Audio-visual, deepfake detection, dynamic weight fusion BibRef

Gao, X.Y.[Xing-Yu], Wang, X.[Xi], Chen, Z.Y.[Zhen-Yu], Zhou, W.[Wei], Hoi, S.C.H.[Steven C. H.],
Knowledge Enhanced Vision and Language Model for Multi-Modal Fake News Detection,
MultMed(26), 2024, pp. 8312-8322.
IEEE DOI 2408
Fake news, Feature extraction, Visualization, Knowledge graphs, Social networking (online), Knowledge engineering, Task analysis, vision and language model BibRef

Liu, M.[Miao], Wang, J.[Jing], Qian, X.Y.[Xin-Yuan], Li, H.Z.[Hai-Zhou],
Audio-Visual Temporal Forgery Detection Using Embedding-Level Fusion and Multi-Dimensional Contrastive Loss,
CirSysVideo(34), No. 8, August 2024, pp. 6937-6948.
IEEE DOI 2408
Deepfakes, Forgery, Location awareness, Visualization, Detectors, Task analysis, Proposals, Audio-visual deepfake detection, audio-visual inconsistency BibRef

Yu, Y.[Yang], Liu, X.L.[Xiao-Long], Ni, R.R.[Rong-Rong], Yang, S.Y.[Si-Yuan], Zhao, Y.[Yao], Kot, A.C.[Alex C.],
PVASS-MDD: Predictive Visual-Audio Alignment Self-Supervision for Multimodal Deepfake Detection,
CirSysVideo(34), No. 8, August 2024, pp. 6926-6936.
IEEE DOI 2408
Deepfakes, Visualization, Feature extraction, Forgery, Faces, Collaboration, Task analysis, Multimodal deepfake detection, self-supervised auxiliary BibRef

Huang, Y.H.[Yi-Hao], Juefei-Xu, F.[Felix], Guo, Q.[Qing], Liu, Y.[Yang], Pu, G.[Geguang],
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering,
CirSysVideo(34), No. 8, August 2024, pp. 6949-6962.
IEEE DOI 2408
Deepfakes, Filtering, Notch filters, Image synthesis, Frequency-domain analysis, Fingerprint recognition, Detectors, DeepFake detection BibRef

Li, J.C.[Ji-Cheng], Hu, Y.J.[Yong-Jian], Liu, B.B.[Bei-Bei], Gong, Z.L.[Zhao-Long], Kang, X.G.[Xian-Gui],
Boosting Deepfake Feature Extractors Using Unsupervised Domain Adaptation,
SPLetters(31), 2024, pp. 2010-2014.
IEEE DOI 2408
Feature extraction, Deepfakes, Boosting, Detectors, Training, Vectors, Task analysis, Deepfake detection, generalization, boosting strategy BibRef

Wang, Y.[Yan], Sun, Q.[Qindong], Rong, D.Z.[Dong-Zhu], Geng, R.[Rong],
Multi-domain awareness for compressed deepfake videos detection over social networks guided by common mechanisms between artifacts,
CVIU(247), 2024, pp. 104072.
Elsevier DOI 2408
Deepfake detection, Multimedia forensics, Compressed deepfake video, Multi-domain awareness BibRef

Qiao, T.[Tong], Xie, S.[Shichuang], Chen, Y.L.[Yan-Li], Retraint, F.[Florent], Shi, R.[Ran], Luo, X.Y.[Xiang-Yang],
Deepfake Detection Fighting Against Noisy Label Attack,
MultMed(26), 2024, pp. 9047-9059.
IEEE DOI 2408
Noise measurement, Deepfakes, Training, Faces, Data models, Forensics, Deepfake detection, noisy label attack, contrastive learning BibRef

Meng, Z.L.[Zhe-Ling], Peng, B.[Bo], Dong, J.[Jing], Tan, T.N.[Tie-Niu], Cheng, H.[Haonan],
Artifact feature purification for cross-domain detection of AI-generated images,
CVIU(247), 2024, pp. 104078.
Elsevier DOI Code:
WWW Link. 2408
AI-generated image detection, Cross-domain, Artifact Purification BibRef

Wan, M.Y.[Ming-Yu], Zhong, Y.[Yin], Gao, X.F.[Xue-Feng], Lee, Y.M.[Yat Mei], Huang, C.R.[Chu-Ren],
Fake News, Real Emotions: Emotion Analysis of COVID-19 Infodemic in Weibo,
AffCom(15), No. 3, July 2024, pp. 815-827.
IEEE DOI 2409
Fake news, COVID-19, Pandemics, Taxonomy, Sentiment analysis, Social networking (online), Psychology, Emotion, fake news, COVID-19, gain-versus-loss framing BibRef

Wang, Y.[Yujia], Huang, H.[Hua],
Audio-visual deepfake detection using articulatory representation learning,
CVIU(248), 2024, pp. 104133.
Elsevier DOI 2409
Deepfake detection, Audio-visual, Articulatory representation BibRef

Behrouzi, T.[Tina], Shahroudnejad, A.[Atefeh], Mousavi, P.[Payam],
Maskrenderer: 3D-infused multi-mask realistic face reenactment,
PR(157), 2025, pp. 110891.
Elsevier DOI 2409
Generative models, Deepfake, Face reenactment, Multi-scale occlusion masks, Triplet loss, 3D morphable model BibRef

Wang, Y.[Yuan], Chen, C.[Chen], Zhang, N.[Ning], Hu, X.Y.[Xi-Yuan],
WATCHER: Wavelet-Guided Texture-Content Hierarchical Relation Learning for Deepfake Detection,
IJCV(132), No. 10, October 2024, pp. 4746-4767.
Springer DOI 2410
BibRef

Wang, Y.[Yuan], Yu, K.[Kun], Chen, C.[Chen], Hu, X.[Xiyuan], Peng, S.[Silong],
Dynamic Graph Learning with Content-guided Spatial-Frequency Relation Reasoning for Deepfake Detection,
CVPR23(7278-7287)
IEEE DOI 2309
BibRef

Wang, C.P.[Chun-Peng], Shi, C.Y.[Chao-Yi], Wang, S.[Simiao], Xia, Z.Q.[Zhi-Qiu], Ma, B.[Bin],
Dual-Task Mutual Learning With QPHFM Watermarking for Deepfake Detection,
SPLetters(31), 2024, pp. 2740-2744.
IEEE DOI 2410
Watermarking, Deepfakes, Forgery, Image reconstruction, Accuracy, Signal processing algorithms, Faces, Dual-task mutual learning, proactive deepfake detection BibRef

Qiao, T.[Tong], Shao, H.[Hang], Xie, S.[Shichuang], Shi, R.[Ran],
Unsupervised Generative Fake Image Detector,
CirSysVideo(34), No. 9, September 2024, pp. 8442-8455.
IEEE DOI 2410
Feature extraction, Detectors, Training, Generators, Noise measurement, Frequency-domain analysis, Forensics, generative fake images BibRef

Yang, H.[Hao], Li, T.C.[Tian-Cheng], Yan, J.[Junkun], Elvira, V.[Victor],
Hierarchical Average Fusion With GM-PHD Filters Against FDI and DoS Attacks,
SPLetters(31), 2024, pp. 934-938.
IEEE DOI 2404
Behavioral sciences, Radio frequency, Fake news, Information filters, Denial-of-service attack, average fusion BibRef

He, Y.[Yi], Yang, L.[Lei], Wang, S.L.[Shi-Lin], Liew, A.W.C.[Alan Wee-Chung],
Lip Feature Disentanglement for Visual Speaker Authentication in Natural Scenes,
CirSysVideo(34), No. 10, October 2024, pp. 9898-9909.
IEEE DOI 2411
Feature extraction, Lips, Authentication, Deepfakes, Visualization, Data mining, Shape, Lip biometrics, DeepFake spoofs BibRef

Yin, Q.L.[Qi-Lin], Lu, W.[Wei], Cao, X.C.[Xiao-Chun], Luo, X.Y.[Xiang-Yang], Zhou, Y.C.[Yi-Cong], Huang, J.W.[Ji-Wu],
Fine-Grained Multimodal DeepFake Classification via Heterogeneous Graphs,
IJCV(132), No. 11, November 2024, pp. 5255-5269.
Springer DOI 2411
BibRef

Cheng, Z.Y.[Zi-Yuan], Wang, Y.Y.[Yi-Yang], Wan, Y.J.[Yong-Jing], Jiang, C.L.[Cui-Ling],
DeepFake detection method based on multi-scale interactive dual-stream network,
JVCIR(104), 2024, pp. 104263.
Elsevier DOI 2411
DeepFake detection, Multi-scale fusion, Interactive dual-stream, High-frequency noise BibRef

Zheng, J.S.[Jun-Shuai], Hu, X.Y.[Xi-Yuan], Chen, C.[Chen], Zhou, Y.C.[Yi-Chao], Gao, D.Y.[Dong-Yang], Tang, Z.M.[Zhen-Min],
A new deepfake detection model for responding to perception attacks in embodied artificial intelligence,
IVC(151), 2024, pp. 105279.
Elsevier DOI 2411
Deepfake detection, Unsupervised contrastive learning, Supervised contrastive learning, Balanced contrastive learning BibRef

Zhong, J.L.[Jun-Liu], Gan, Y.F.[Yan-Fen], Yang, J.X.[Ji-Xiang], Chen, Y.H.[Yu-Huan], Zhao, Y.Q.[Ying-Qi], Lv, Z.S.[Zhi-Sheng],
Exposing video surveillance object forgery by combining TSF features and attention-based deep neural networks,
JVCIR(104), 2024, pp. 104267.
Elsevier DOI 2411
Video Surveillance Object Forgery Detection (VSOFD), Temporal-Spatial-Frequent (TSF) feature, Encoder-attention-decoder BibRef

Astrid, M.[Marcella], Ghorbel, E.[Enjie], Aouada, D.[Djamila],
Statistics-Aware Audio-Visual Deepfake Detector,
ICIP24(2557-2563)
IEEE DOI 2411
Deepfakes, Visualization, Computational modeling, Deep architecture, Computer architecture, Detectors, similarity BibRef

Lu, L.[Lin], Wang, Y.H.[Yun-Hong], Zhuo, W.Q.[Wen-Qi], Zhang, L.[Liang], Gao, G.S.[Guang-Shuai], Guo, Y.F.[Yuan-Fang],
Deepfake Detection Via Separable Self-Consistency Learning,
ICIP24(3264-3270)
IEEE DOI 2411
Representation learning, Deepfakes, Convolution, Feature extraction, Forgery, Data mining, Security, Self-consistency learning BibRef

Pontorno, O.[Orazio], Guarnera, L.[Luca], Battiato, S.[Sebastiano],
On the Exploitation of DCT-Traces in the Generative-AI Domain,
ICIP24(3806-3812)
IEEE DOI 2411
Deepfakes, Machine learning algorithms, Image recognition, Image coding, Transform coding, Statistical distributions, Multimedia Forensics BibRef

Tariq, R.[Razaib], Tariq, S.[Shahroz], Woo, S.S.[Simon S.],
Exploring the Impact of Moire Pattern on Deepfake Detectors,
ICIP24(3813-3819)
IEEE DOI 2411
Resistance, Image quality, Deepfakes, Noise, Detectors, Classification algorithms, Moire Pattern, Deepfakes Detection, Digital Screen Capture Analysis BibRef

Ain, Q.U.[Qurat Ul], Javed, A.[Ali], Malik, K.M.[Khalid Mahmood], Irtaza, A.[Aun],
Exposing the Limits of Deepfake Detection using novel Facial mole attack: A Perceptual Black- Box Adversarial Attack Study,
ICIP24(3820-3826)
IEEE DOI 2411
Resistance, Deepfakes, Perturbation methods, Closed box, Detectors, Media, Adversarial attack, Black-box attack, Deepfakes detection, Facial Mole attack BibRef

Lyu, Z.H.[Zi-Hang], Xiao, J.[Jun], Zhang, C.[Cong], Lam, K.M.[Kin-Man],
AI-Generated Image Detection With Wasserstein Distance Compression and Dynamic Aggregation,
ICIP24(3827-3833)
IEEE DOI 2411
Training, Privacy, Image coding, Accuracy, Computational modeling, Redundancy, Imaging, Fake Image Detection, Efficient Training BibRef

Lu, Q.X.[Qian-Xi], He, Y.[Yi], Wang, S.L.[Shi-Lin],
Personatalk: Preserving Personalized Dynamic Speech Style In Talking Face Generation,
ICIP24(2257-2263)
IEEE DOI 2411
Training, Measurement, Visualization, Deepfakes, Lips, Dynamics, Authentication, Talking face generation, contrastive learning, reading intelligibility BibRef

Chen, Y.Z.[Yun-Zhuo], Akhtar, N.[Naveed], Haldar, N.A.H.[Nur Al Hasan], Vice, J.[Jordan], Mian, A.[Ajmal],
A Statistical Image Realism Score For Deepfake Detection,
ICIP24(1391-1396)
IEEE DOI 2411
Measurement, Training, Visualization, Deepfakes, Current measurement, Computational modeling BibRef

Zheng, J.[JunShuai], Zhou, Y.[YiChao], Hu, X.[XiYuan], Tang, Z.[ZhenMin],
Deepfake Detection With Combined Unsupervised-Supervised Contrastive Learning,
ICIP24(787-793)
IEEE DOI 2411
Deepfakes, Fuses, Diversity reception, Contrastive learning, Feature extraction, Stability analysis, Forgery, combined unsupervised-supervised contrastive learning BibRef

Cozzolino, D.[Davide], Poggi, G.[Giovanni], Corvi, R.[Riccardo], Nießner, M.[Matthias], Verdoliva, L.[Luisa],
Raising the Bar of AI-generated Image Detection with CLIP,
WMF24(4356-4366)
IEEE DOI Code:
WWW Link. 2410
Training, Detectors, Computer architecture, Feature extraction, Robustness BibRef

Choi, J.[Jongwook], Kim, T.[Taehoon], Jeong, Y.[Yonghyun], Baek, S.[Seungryul], Choi, J.W.[Jong-Won],
Exploiting Style Latent Flows for Generalizing Deepfake Video Detection,
CVPR24(1133-1143)
IEEE DOI 2410
Representation learning, Deepfakes, Visualization, Data preprocessing, Dogs, Contrastive learning, Feature extraction, Face Forgery Detection BibRef

Ricker, J.[Jonas], Lukovnikov, D.[Denis], Fischer, A.[Asja],
AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error,
CVPR24(9130-9140)
IEEE DOI Code:
WWW Link. 2410
Training, Visualization, Forensics, Noise reduction, Text to image, Transforms, Diffusion models, diffusion models, deepfake detection, fake image detection BibRef

Lin, L.[Li], He, X.[Xinan], Ju, Y.[Yan], Wang, X.[Xin], Ding, F.[Feng], Hu, S.[Shu],
Preserving Fairness Generalization in Deepfake Detection,
CVPR24(16815-16825)
IEEE DOI Code:
WWW Link. 2410
Deepfakes, Codes, Design methodology, Feature extraction, Forgery, Pattern recognition BibRef

Nguyen, D.[Dat], Mejri, N.[Nesryne], Singh, I.P.[Inder Pal], Kuleshova, P.[Polina], Astrid, M.[Marcella], Kacem, A.[Anis], Ghorbel, E.[Enjie], Aouada, D.[Djamila],
LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection,
CVPR24(17395-17405)
IEEE DOI Code:
WWW Link. 2410
Heating systems, Deepfakes, Attention mechanisms, Limiting, Redundancy, Noise, Benchmark testing BibRef

Hong, C.Y.[Cheng-Yao], Hsu, Y.C.[Yen-Chi], Liu, T.L.[Tyng-Luh],
Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking,
CVPR24(17627-17637)
IEEE DOI 2410
Location awareness, Deepfakes, Image resolution, Contrastive learning, DeepFake Detection, Multiple Instance Learning BibRef

Liu, Y.X.[Yi-Xin], Fan, C.R.[Chen-Rui], Dai, Y.T.[Yu-Tong], Chen, X.[Xun], Zhou, P.[Pan], Sun, L.C.[Li-Chao],
MetaCloak: Preventing Unauthorized Subject-Driven Text-to-Image Diffusion-Based Synthesis via Meta-Learning,
CVPR24(24219-24228)
IEEE DOI Code:
WWW Link. 2410
Metalearning, Training, Filtering, Perturbation methods, Semantics, Text to image, Diffusion models, DeepFake Defense, Imperceptible Perturbation BibRef

Oorloff, T.[Trevine], Koppisetti, S.[Surya], Bonettini, N.[Nicolò], Solanki, D.[Divyaraj], Colman, B.[Ben], Yacoob, Y.[Yaser], Shahriyari, A.[Ali], Bharaj, G.[Gaurav],
AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection,
CVPR24(27092-27102)
IEEE DOI 2410
Training, Representation learning, Learning systems, Deepfakes, Visualization, Accuracy, video deepfake detection, multimodal BibRef

Tan, C.C.[Chuang-Chuang], Liu, H.[Huan], Zhao, Y.[Yao], Wei, S.[Shikui], Gu, G.H.[Guang-Hua], Liu, P.[Ping], Wei, Y.C.[Yun-Chao],
Rethinking the Up-Sampling Operations in CNN-Based Generative Network for Generalizable Deepfake Detection,
CVPR24(28130-28139)
IEEE DOI Code:
WWW Link. 2410
Deepfakes, Frequency-domain analysis, Computer architecture, Detectors, Generative adversarial networks, Generators, Neighboring Pixel Relationships BibRef

Luevano, L.S.[Luis S.], Martínez-Díaz, Y.[Yoanna], Méndez-Vázquez, H.[Heydi], González-Mendoza, M.[Miguel], Frey, D.[Davide],
Assessing the Performance of Efficient Face Anti-Spoofing Detection Against Physical and Digital Presentation Attacks,
FAS24(1021-1028)
IEEE DOI Code:
WWW Link. 2410
Training, Deepfakes, Accuracy, Sensitivity, Face recognition, Computational modeling, Efficient Face Anti-Spoofing, Face Spoofing Deepfake Detection BibRef

Wani, T.M.[Taiba Majid], Gulzar, R.[Reeva], Amerini, I.[Irene],
ABC-CapsNet: Attention based Cascaded Capsule Network for Audio Deepfake Detection,
WiCV24(2464-2472)
IEEE DOI 2410
Deepfakes, Adaptation models, Attention mechanisms, Computational modeling, Scalability, Computer architecture, FoR BibRef

Lanzino, R.[Romeo], Fontana, F.[Federico], Diko, A.[Anxhelo], Marini, M.R.[Marco Raoul], Cinque, L.[Luigi],
Faster Than Lies: Real-time Deepfake Detection using Binary Neural Networks,
DFAD24(3771-3780)
IEEE DOI 2410
Deepfakes, Accuracy, Fast Fourier transforms, Computational modeling, Neural networks, Media, Real-time systems, neural network BibRef

Chandra, K.A.[K. Aashish], Aashutosh, A.V., Das, S.[Srijan], Das, A.[Abhijit],
Latent Flow Diffusion for Deepfake Video Generation,
DFAD24(3781-3790)
IEEE DOI 2410
Deepfakes, Image motion analysis, Image coding, Predictive models, Transformers, Generators, Diffusion, Deepfake, Video Generation BibRef

Agarwal, A.[Akshay], Ratha, N.[Nalini],
Deepfake Catcher: Can a Simple Fusion be Effective and Outperform Complex DNNs?,
DFAD24(3791-3801)
IEEE DOI 2410
Knowledge engineering, Image quality, Deepfakes, Social networking (online), Architecture, Deep architecture BibRef

Frick, R.A.[Raphael Antonius], Steinebach, M.[Martin],
DiffSeg: Towards Detecting Diffusion-Based Inpainting Attacks Using Multi-Feature Segmentation,
DFAD24(3802-3808)
IEEE DOI 2410
Deep learning, Image segmentation, Image coding, Noise, Diffusion models, Deepfake Detection, Inpainting Detection, Media Forensics BibRef

Pellcier, A.L.[Alvaro Lopez], Li, Y.[Yi], Angelov, P.[Plamen],
PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection,
DFAD24(3809-3817)
IEEE DOI 2410
Training, Deepfakes, Computational modeling, Prototypes, Diffusion models BibRef

Ciamarra, A.[Andrea], Caldelli, R.[Roberto], Bimbo, A.D.[Alberto Del],
Temporal surface frame anomalies for deepfake video detection,
DFAD24(3837-3844)
IEEE DOI 2410
Deepfakes, Accuracy, Instruments, Video sequences, Pipelines, Watches, Deepfake, Deepfake Video Detection, Scene Acquisition Manipulation BibRef

Concas, S.[Sara], Cava, S.M.L.[Simone Maurizio La], Casula, R.[Roberto], Orrù, G.[Giulia], Puglisi, G.[Giovanni], Marcialis, G.L.[Gian Luca],
Quality-based Artifact Modeling for Facial Deepfake Detection in Videos,
DFAD24(3845-3854)
IEEE DOI 2410
Deepfakes, Video sequences, Neural networks, Computer architecture, Benchmark testing, Deepfakes, deepfake detection, quality, face patches BibRef

Li, Y.[Yanhao], Bammey, Q.[Quentin], Gardella, M.[Marina], Nikoukhah, T.[Tina], Morel, J.M.[Jean-Michel], Colom, M.[Miguel], von Gioi, R.G.[Rafael Grompone],
MaskSim: Detection of synthetic images by masked spectrum similarity analysis,
DFAD24(3855-3865)
IEEE DOI Code:
WWW Link. 2410
Visualization, Image coding, Image synthesis, Forensics, Transform coding, synthetic image detection, image forensics BibRef

Porcile, G.J.A.[Gonzalo J. Aniano], Gindi, J.[Jack], Mundra, S.[Shivansh], Verbus, J.R.[James R.], Farid, H.[Hany],
Finding AI-Generated Faces in the Wild,
WMF24(4297-4305)
IEEE DOI 2410
Visualization, Image resolution, Image synthesis, Face recognition, Focusing, deepfakes, media forensics BibRef

Bohacek, M.[Matyas], Farid, H.[Hany],
Lost in Translation: Lip-Sync Deepfake Detection from Audio-Video Mismatch,
WMF24(4315-4323)
IEEE DOI 2410
Deepfakes, Voting, Mouth, Cloning, Robustness, deepfakes, media forensics BibRef

Jia, S.[Shan], Lyu, R.[Reilin], Zhao, K.[Kangran], Chen, Y.Z.[Yi-Ze], Yan, Z.Y.[Zhi-Yuan], Ju, Y.[Yan], Hu, C.B.[Chuan-Bo], Li, X.[Xin], Wu, B.Y.[Bao-Yuan], Lyu, S.W.[Si-Wei],
Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics,
WMF24(4324-4333)
IEEE DOI 2410
Deepfakes, Machine learning algorithms, Forensics, Large language models, Training data, Focusing, Deepfake Detection, GPT4V BibRef

Azizpour, A.[Aref], Nguyen, T.D.[Tai D.], Shrestha, M.[Manil], Xu, K.D.[Kai-Di], Kim, E.[Edward], Stamm, M.C.[Matthew C.],
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data,
WMF24(4334-4344)
IEEE DOI 2410
Continuing education, Knowledge engineering, Training, Accuracy, Forensics, Transfer learning, Training data, Multimedia Forensics BibRef

Choi, J.M.[Jun Myeong], Leung, J.[Johnathan], Frahm, N.[Noah], Christman, M.[Max], Bertasius, G.[Gedas], Sengupta, R.[Roni],
Building Secure and Engaging Video Communication by Using Monitor Illumination,
WMF24(4377-4386)
IEEE DOI 2410
Deepfakes, Accuracy, Face recognition, Computational modeling, Neural networks, Lighting, Predictive models BibRef

Vahdati, D.S.[Danial Samadi], Nguyen, T.D.[Tai D.], Azizpour, A.[Aref], Stamm, M.C.[Matthew C.],
Beyond Deepfake Images: Detecting AI-Generated Videos,
WMF24(4397-4408)
IEEE DOI 2410
Training, Deepfakes, Generative AI, Forensics, Detectors, Generators, Generative AI, Synthetic images, Synthetic Videos, Media Forensics, Deepfake BibRef

Tariq, R.[Razaib], Heo, M.J.[Min-Ji], Woo, S.S.[Simon S.], Tariq, S.[Shahroz],
Beyond the Screen: Evaluating Deepfake Detectors under Moiré Pattern Effects,
WMF24(4429-4439)
IEEE DOI Code:
WWW Link. 2410
Image quality, Deepfakes, Refining, Detectors, Cameras, Deepfake, Media Forensics, Fake Media, Moire Pattern BibRef

Rana, M.S.[Md Shohel], Nobi, M.N.[Mohammad Nur], Sung, A.[Andrew],
DeepDistAL: Deepfake Dataset Distillation using Active Learning,
Distill24(7723-7730)
IEEE DOI 2410
Training, Deepfakes, Accuracy, Costs, Computational modeling, Data integrity, Robustness, Deepfake, Dataset Distillation, VDFD BibRef

Yan, Z.Y.[Zhi-Yuan], Luo, Y.H.[Yu-Hao], Lyu, S.W.[Si-Wei], Liu, Q.S.[Qing-Shan], Wu, B.Y.[Bao-Yuan],
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection,
CVPR24(8984-8994)
IEEE DOI 2410
Training, Deepfakes, Refining, Detectors, Feature extraction, Data augmentation, Forgery BibRef

Agarwal, A.[Akshay], Ratha, N.[Nalini],
Deepfake: Classifiers, Fairness, and Demographically Robust Algorithm,
FG24(1-9)
IEEE DOI 2408
Training, Deepfakes, Accuracy, Social networking (online), Architecture, Buildings, Media BibRef

Kuckreja, K.[Kartik], Hoque, X.[Ximi], Poddar, N.[Nishit], Reddy, S.[Shukesh], Dhall, A.[Abhinav], Das, A.[Abhijit],
INDIFACE: Illuminating India's Deepfake Landscape with a Comprehensive Synthetic Dataset,
FG24(1-9)
IEEE DOI 2408
Deepfakes, Law enforcement, Face recognition, Government, Gesture recognition, Benchmark testing, Synthetic data BibRef

Sinitsa, S.[Sergey], Fried, O.[Ohad],
Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis,
WACV24(4055-4064)
IEEE DOI 2404
Analytical models, Computational modeling, Fingerprint recognition, Generative adversarial networks BibRef

Ju, Y.[Yan], Hu, S.[Shu], Jia, S.[Shan], Chen, G.H.[George H.], Lyu, S.W.[Si-Wei],
Improving Fairness in Deepfake Detection,
WACV24(4643-4653)
IEEE DOI Code:
WWW Link. 2404
Training, Deepfakes, Codes, Annotations, Detectors, Algorithms, Explainable, fair, accountable, privacy-preserving, body pose BibRef

Demir, I.[Ilke], Çiftçi, U.A.[Umur Aybars],
How Do Deepfakes Move? Motion Magnification for Deepfake Source Detection,
WACV24(4768-4778)
IEEE DOI 2404
Deepfakes, Computational modeling, Buildings, Detectors, Computer architecture, Skin, Algorithms, Explainable, fair, body pose BibRef

Tântaru, D.C.[Dragos-Constantin], Oneata, E.[Elisabeta], Oneata, D.[Dan],
Weakly-supervised deepfake localization in diffusion-generated images,
WACV24(6246-6256)
IEEE DOI 2404
Location awareness, Training, Measurement, Deepfakes, Noise reduction, Generative adversarial networks, Generators, adversarial attack and defense methods BibRef

Das, S.[Srijan], Jain, T.[Tanmay], Reilly, D.[Dominick], Balaji, P.[Pranav], Karmakar, S.[Soumyajit], Marjit, S.[Shyam], Li, X.[Xiang], Das, A.[Abhijit], Ryoo, M.S.[Michael S.],
Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders,
WACV24(6864-6874)
IEEE DOI Code:
WWW Link. 2404
Training, Deepfakes, Codes, Training data, Self-supervised learning, Transformers, Algorithms, Video recognition and understanding, and algorithms BibRef

Ciamarra, A.[Andrea], Caldelli, R.[Roberto], Becattini, F.[Federico], Seidenari, L.[Lorenzo], del Bimbo, A.[Alberto],
Deepfake Detection by Exploiting Surface Anomalies: The Surfake Approach,
BioAttack24(1024-1033)
IEEE DOI 2404
Geometry, Deepfakes, Visualization, Pipelines, Lighting, Media, Feature extraction BibRef

Ivanovska, M.[Marija], Štruc, V.[Vitomir],
On the Vulnerability of Deepfake Detectors to Attacks Generated by Denoising Diffusion Models,
BioAttack24(1051-1060)
IEEE DOI 2404
Training, Deepfakes, Visualization, Computational modeling, Biological system modeling, Noise reduction, Closed box BibRef

Seraj, M.S.[Md Shamim], Singh, A.[Ankita], Chakraborty, S.[Shayok],
Semi-Supervised Deep Domain Adaptation for Deepfake Detection,
BioAttack24(1061-1071)
IEEE DOI 2404
Deepfakes, Adaptation models, Image synthesis, Training data, Stochastic processes BibRef

Hukkelås, H.[Håkon], Lindseth, F.[Frank],
Synthesizing Anyone, Anywhere, in Any Pose,
WACV24(4023-4034)
IEEE DOI 2404
Training, Deepfakes, Watermarking, Generators, Web sites, Reliability, Multimedia communication, Algorithms, Computational photography, body pose BibRef

Hooda, A.[Ashish], Mangaokar, N.[Neal], Feng, R.[Ryan], Fawaz, K.[Kassem], Jha, S.[Somesh], Prakash, A.[Atul],
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles,
WACV24(3800-3810)
IEEE DOI 2404
Training, Deepfakes, Frequency-domain analysis, Perturbation methods, Redundancy, Closed box, Detectors, Algorithms BibRef

Chung, C.[Chaeyeon], Park, Y.[Yeojeong], Choi, S.[Seunghwan], Ganbat, M.[Munkhsoyol], Choo, J.[Jaegul],
Shortcut-V2V: Compression Framework for Video-to-Video Translation based on Temporal Redundancy Reduction,
ICCV23(7578-7588)
IEEE DOI Code:
WWW Link. 2401
Not specifically deepfakes, but common issues. BibRef

Li, H.[Hang], Gu, J.D.[Jin-Dong], Koner, R.[Rajat], Sharifzadeh, S.[Sahand], Tresp, V.[Volker],
Do DALL-E and Flamingo Understand Each Other?,
ICCV23(1999-2010)
IEEE DOI Code:
WWW Link. 2401
Generate descriptions with Flamingo, generate image with DALL-E. BibRef

Xu, Y.T.[Yu-Ting], Liang, J.[Jian], Jia, G.[Gengyun], Yang, Z.M.[Zi-Ming], Zhang, Y.[Yanhao], He, R.[Ran],
TALL: Thumbnail Layout for Deepfake Video Detection,
ICCV23(22601-22611)
IEEE DOI Code:
WWW Link. 2401
BibRef

Yan, Z.Y.[Zhi-Yuan], Zhang, Y.[Yong], Fan, Y.B.[Yan-Bo], Wu, B.Y.[Bao-Yuan],
UCF: Uncovering Common Features for Generalizable Deepfake Detection,
ICCV23(22355-22366)
IEEE DOI 2401
BibRef

Le, B.M.[Binh M.], Woo, S.S.[Simon S.],
Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning,
ICCV23(22321-22332)
IEEE DOI 2401
BibRef

Larue, N.[Nicolas], Vu, N.S.[Ngoc-Son], Struc, V.[Vitomir], Peer, P.[Peter], Christophides, V.[Vassilis],
SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes,
ICCV23(20954-20964)
IEEE DOI Code:
WWW Link. 2401
BibRef

Sun, Z.M.[Zhi-Min], Chen, S.[Shen], Yao, T.P.[Tai-Ping], Yin, B.J.[Bang-Jie], Yi, R.[Ran], Ding, S.H.[Shou-Hong], Ma, L.Z.[Li-Zhuang],
Contrastive Pseudo Learning for Open-World DeepFake Attribution,
ICCV23(20825-20835)
IEEE DOI 2401
BibRef

Yao, K.[Kelu], Wang, J.[Jin], Diao, B.[Boyu], Li, C.[Chao],
Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View,
ICCV23(2031-2041)
IEEE DOI 2401
BibRef

Epstein, D.C.[David C.], Jain, I.[Ishan], Wang, O.[Oliver], Zhang, R.[Richard],
Online Detection of AI-Generated Images,
DFAD23(382-392)
IEEE DOI 2401
BibRef

Husseini, S.[Sahar], Dugelay, J.L.[Jean-Luc],
A Comprehensive Framework for Evaluating Deepfake Generators: Dataset, Metrics Performance, and Comparative Analysis,
DFAD23(372-381)
IEEE DOI Code:
WWW Link. 2401
BibRef

Balaji, P.[Pranav], Das, A.[Abhijit], Das, S.[Srijan], Dantcheva, A.[Antitza],
Attending Generalizability in Course of Deep Fake Detection by Exploring Multi-task Learning,
DFAD23(475-484)
IEEE DOI 2401
BibRef

Aghasanli, A.[Agil], Kangin, D.[Dmitry], Angelov, P.[Plamen],
Interpretable-through-prototypes deepfake detection for diffusion models,
DFAD23(467-474)
IEEE DOI Code:
WWW Link. 2401
BibRef

Hamadene, A.[Assia], Ouahabi, A.[Abdeldjalil], Hadid, A.[Abdenour],
Deepfakes Signatures Detection in the Handcrafted Features Space,
DFAD23(460-466)
IEEE DOI 2401
BibRef

Nandi, S.[Soumyaroop], Natarajan, P.[Prem], Abd-Almageed, W.[Wael],
TrainFors: A Large Benchmark Training Dataset for Image Manipulation Detection and Localization,
DFAD23(403-414)
IEEE DOI 2401
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Saha, S.[Sanjay], Perera, R.[Rashindrie], Seneviratne, S.[Sachith], Malepathirana, T.[Tamasha], Rasnayaka, S.[Sanka], Geethika, D.[Deshani], Sim, T.[Terence], Halgamuge, S.[Saman],
Undercover Deepfakes: Detecting Fake Segments in Videos,
DFAD23(415-425)
IEEE DOI 2401
BibRef

Kamat, S.[Sarthak], Agarwal, S.[Shruti], Darrell, T.J.[Trevor J.], Rohrbach, A.[Anna],
Revisiting Generalizability in Deepfake Detection: Improving Metrics and Stabilizing Transfer,
DFAD23(426-435)
IEEE DOI 2401
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Das, S.[Sowmen], Amin, M.R.[Md. Ruhul],
Learning Interpretable Forensic Representations via Local Window Modulation,
DFAD23(436-447)
IEEE DOI 2401
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Lorenz, P.[Peter], Durall, R.L.[Ricard L.], Keuper, J.[Janis],
Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality,
DFAD23(448-459)
IEEE DOI Code:
WWW Link. 2401
BibRef

d'Amelio, A.[Alessandro], Lanzarotti, R.[Raffaella], Patania, S.[Sabrina], Grossi, G.[Giuliano], Cuculo, V.[Vittorio], Valota, A.[Andrea], Boccignone, G.[Giuseppe],
On Using RPPG Signals for Deepfake Detection: A Cautionary Note,
CIAP23(II:235-246).
Springer DOI 2312
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Gravina, M.[Michela], Galli, A.[Antonio], de Micco, G.[Geremia], Marrone, S.[Stefano], Fiameni, G.[Giuseppe], Sansone, C.[Carlo],
Fead-d: Facial Expression Analysis in Deepfake Detection,
CIAP23(II:283-294).
Springer DOI 2312
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Cocchi, F.[Federico], Baraldi, L.[Lorenzo], Poppi, S.[Samuele], Cornia, M.[Marcella], Baraldi, L.[Lorenzo], Cucchiara, R.[Rita],
Unveiling the Impact of Image Transformations on Deepfake Detection: An Experimental Analysis,
CIAP23(II:345-356).
Springer DOI 2312
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Zhang, J.B.[Jun-Bin], Wang, Y.X.[Yi-Xiao], Tohidypour, H.R.[Hamid Reza], Nasiopoulos, P.[Panos],
Detecting Stable Diffusion Generated Images Using Frequency Artifacts: A Case Study on Disney-Style Art,
ICIP23(1845-1849)
IEEE DOI 2312
BibRef

Rahman, M.A.[Md Awsafur], Paul, B.[Bishmoy], Sarker, N.H.[Najibul Haque], Hakim, Z.I.A.[Zaber Ibn Abdul], Fattah, S.A.[Shaikh Anowarul],
Artifact: A Large-Scale Dataset With Artificial And Factual Images For Generalizable And Robust Synthetic Image Detection,
ICIP23(2200-2204)
IEEE DOI 2312
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Ai, J.X.[Jia-Xin], Wang, Z.Y.[Zhong-Yuan], Huang, B.[Baojin], Han, Z.[Zhen], Zou, Q.[Qin],
Deepfake Face Provenance for Proactive Forensics,
ICIP23(2025-2029)
IEEE DOI 2312
BibRef

Liu, H.G.[Hong-Gu], Bestagini, P.[Paolo], Huang, L.[Lin], Zhou, W.B.[Wen-Bo], Tubaro, S.[Stefano], Zhang, W.M.[Wei-Ming], Yu, N.H.[Neng-Hai],
It Wasn't Me: Irregular Identity in Deepfake Videos,
ICIP23(2770-2774)
IEEE DOI Code:
WWW Link. 2312
BibRef

Sun, R.P.[Rui-Peng], Zhao, Z.Y.[Zi-Yuan], Shen, L.[Li], Zeng, Z.[Zeng], Li, Y.X.[Yu-Xin], Veeravalli, B.[Bharadwaj], Xulei, Y.[Yang],
An Efficient Deep Video Model For Deepfake Detection,
ICIP23(351-355)
IEEE DOI 2312
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Atamna, M.[Mehdi], Tkachenko, I.[Iuliia], Miguet, S.[Serge],
Improving Generalization in Facial Manipulation Detection Using Image Noise Residuals and Temporal Features,
ICIP23(3424-3428)
IEEE DOI 2312
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Hou, Z.[Zeming], Hua, Z.Y.[Zhong-Yun], Zhang, K.[Kuiyuan], Zhang, Y.S.[Yu-Shu],
CDNet: Cluster Decision for Deepfake Detection Generalization,
ICIP23(3010-3014)
IEEE DOI 2312
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Kato, G.[Gido], Fukuhara, Y.[Yoshihiro], Isogawa, M.[Mariko], Tsunashima, H.[Hideki], Kataoka, H.[Hirokatsu], Morishima, S.[Shigeo],
Scapegoat Generation for Privacy Protection from Deepfake,
ICIP23(3364-3368)
IEEE DOI 2312
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Sariyildiz, M.B.[Mert Bulent], Alahari, K.[Karteek], Larlus, D.[Diane], Kalantidis, Y.[Yannis],
Fake it Till You Make it: Learning Transferable Representations from Synthetic ImageNet Clones,
CVPR23(8011-8021)
IEEE DOI 2309
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Ojha, U.[Utkarsh], Li, Y.H.[Yu-Heng], Lee, Y.J.[Yong Jae],
Towards Universal Fake Image Detectors that Generalize Across Generative Models,
CVPR23(24480-24489)
IEEE DOI 2309
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Hou, Y.[Yang], Guo, Q.[Qing], Huang, Y.H.[Yi-Hao], Xie, X.F.[Xiao-Fei], Ma, L.[Lei], Zhao, J.J.[Jian-Jun],
Evading DeepFake Detectors via Adversarial Statistical Consistency,
CVPR23(12271-12280)
IEEE DOI 2309
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Narayan, K.[Kartik], Agarwal, H.[Harsh], Thakral, K.[Kartik], Mittal, S.[Surbhi], Vatsa, M.[Mayank], Singh, R.[Richa],
DF-Platter: Multi-Face Heterogeneous Deepfake Dataset,
CVPR23(9739-9748)
IEEE DOI 2309
BibRef

Dong, S.C.[Shi-Chao], Wang, J.[Jin], Ji, R.[Renhe], Liang, J.J.[Jia-Jun], Fan, H.Q.[Hao-Qiang], Ge, Z.[Zheng],
Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization,
CVPR23(3994-4004)
IEEE DOI 2309
BibRef

Raza, M.A.[Muhammad Anas], Malik, K.M.[Khalid Mahmood],
Multimodaltrace: Deepfake Detection using Audiovisual Representation Learning,
WMF23(993-1000)
IEEE DOI 2309
BibRef

Cozzolino, D.[Davide], Pianese, A.[Alessandro], Nießner, M.[Matthias], Verdoliva, L.[Luisa],
Audio-Visual Person-of-Interest DeepFake Detection,
WMF23(943-952)
IEEE DOI 2309
BibRef

Kim, J.[Jungeun], Park, J.[Jeongeun], Kim, H.Y.[Ha Young],
ADEL: Adaptive Distribution Effective-Matching Method for Guiding Generators of GANs,
ACCV22(VII:37-53).
Springer DOI 2307
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Li, G.[Gen], Zhao, X.F.[Xian-Feng], Cao, Y.[Yun], Hu, C.Q.[Cheng-Qiao],
Manipulated Face Detection and Localization Based on Semantic Segmentation,
IWDW22(98-113).
Springer DOI 2307
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Wang, X.F.[Xiao-Feng], Zhao, Z.K.[Ze-Kun], Zhang, C.[Chi], Bai, N.N.[Ning-Ning], Hu, X.[Xingfu],
Se-resnet56: Robust Network Model for Deepfake Detection,
IWDW22(37-52).
Springer DOI 2307
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Pei, P.F.[Peng-Fei], Zhao, X.F.[Xian-Feng], Cao, Y.[Yun], Hu, C.Q.[Cheng-Qiao],
Visual Explanations for Exposing Potential Inconsistency of Deepfakes,
IWDW22(68-82).
Springer DOI 2307
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Liu, Z.H.[Zi-Han], Wang, H.Y.[Han-Yi], Wang, S.L.[Shi-Lin],
Cross-domain Local Characteristic Enhanced Deepfake Video Detection,
ACCV22(V:196-214).
Springer DOI 2307
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Solanki, G.K.[Girish Kumar], Roussos, A.[Anastasios],
Deep Semantic Manipulation of Facial Videos,
ABAWE22(104-120).
Springer DOI 2304
BibRef

Das, A.[Abhijit], Das, S.[Srijan], Dantcheva, A.[Antitza],
Demystifying Attention Mechanisms for Deepfake Detection,
FG21(1-7)
IEEE DOI 2303
Training, Deep learning, Focusing, Gesture recognition, Convolutional neural networks, Reliability, Task analysis BibRef

Agarwal, A.[Aayushi], Agarwal, A.[Akshay], Sinha, S.[Sayan], Vatsa, M.[Mayank], Singh, R.[Richa],
MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection,
FG21(1-8)
IEEE DOI 2303
Frequency-domain analysis, Face recognition, Gesture recognition, Media, Benchmark testing, Feature extraction BibRef

Klomp, S.R.[Sander R.], van Rijn, M.[Matthew], Wijnhoven, R.G.J.[Rob G.J.], Snoek, C.G.M.[Cees G.M.], de With, P.H.N.[Peter H.N.],
Safe Fakes: Evaluating Face Anonymizers for Face Detectors,
FG21(1-8)
IEEE DOI 2303
Training, Measurement, Degradation, Visualization, Face recognition, Detectors, Generative adversarial networks BibRef

Yoo, S.M.[Sahng-Min], Choi, T.M.[Tae-Min], Choi, J.W.[Jae-Woo], Kim, J.H.[Jong-Hwan],
FastSwap: A Lightweight One-Stage Framework for Real-Time Face Swapping,
WACV23(3547-3556)
IEEE DOI 2302
Training, Costs, Switches, Manuals, Control systems, Real-time systems, Decoding, Algorithms: Biometrics, face, gesture, body pose, Virtual/augmented reality BibRef

Mittal, T.[Trisha], Sinha, R.[Ritwik], Swaminathan, V.[Viswanathan], Collomosse, J.[John], Manocha, D.[Dinesh],
Video Manipulations Beyond Faces: A Dataset with Human-Machine Analysis,
BioAttack23(643-652)
IEEE DOI 2302
Deepfakes, Conferences, Artificial intelligence, Detection algorithms, Faces, Man-machine systems BibRef

Xu, Y.[Ying], Raja, K.[Kiran], Verdoliva, L.[Luisa], Pedersen, M.[Marius],
Learning Pairwise Interaction for Generalizable DeepFake Detection,
Explain-Bio23(1-11)
IEEE DOI 2302
Deepfakes, Visualization, Conferences, Decision making, Detectors, Color BibRef

Agarwal, S.[Shruti], Hu, L.W.[Li-Wen], Ng, E.[Evonne], Darrell, T.J.[Trevor J.], Li, H.[Hao], Rohrbach, A.[Anna],
Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion,
WACV23(4699-4708)
IEEE DOI 2302
Training, Deepfakes, Visualization, Biometrics (access control), Forensics, Semantics, Applications: Social good, Biometrics, face, body pose BibRef

Liu, B.P.[Bao-Ping], Liu, B.[Bo], Ding, M.[Ming], Zhu, T.Q.[Tian-Qing], Yu, X.[Xin],
TI2Net: Temporal Identity Inconsistency Network for Deepfake Detection,
WACV23(4680-4689)
IEEE DOI 2302
Training, Additive noise, Deepfakes, Image coding, Face recognition, Detectors, Applications: Social good, Explainable, fair, accountable, Arts/games/social media BibRef

Zhao, Y.[Yuan], Liu, B.[Bo], Ding, M.[Ming], Liu, B.P.[Bao-Ping], Zhu, T.Q.[Tian-Qing], Yu, X.[Xin],
Proactive Deepfake Defence via Identity Watermarking,
WACV23(4591-4600)
IEEE DOI 2302
Deepfakes, Visualization, Privacy, Image coding, Neural networks, Watermarking, Robustness, Applications: Social good, Explainable, Arts/games/social media BibRef

Çiftçi, U.A.[Umur A.], Yuksek, G.[Gokturk], Demir, I.[Ilke],
My Face My Choice: Privacy Enhancing Deepfakes for Social Media Anonymization,
WACV23(1369-1379)
IEEE DOI 2302
Measurement, Deepfakes, Privacy, Data privacy, Social networking (online), Face recognition, Task analysis, ethical computer vision BibRef

Li, C.[Chuqiao], Huang, Z.W.[Zhi-Wu], Paudel, D.P.[Danda Pani], Wang, Y.[Yabin], Shahbazi, M.[Mohamad], Hong, X.P.[Xiao-Peng], Van Gool, L.J.[Luc J.],
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials,
WACV23(1339-1349)
IEEE DOI 2302
Learning systems, Deepfakes, Visualization, Adaptation models, Codes, Benchmark testing, and un-supervised learning) BibRef

Hukkelås, H.[Håkon], Lindseth, F.[Frank],
DeepPrivacy2: Towards Realistic Full-Body Anonymization,
WACV23(1329-1338)
IEEE DOI 2302
Image quality, Data privacy, Privacy, Deepfakes, Computational modeling, Generative adversarial networks, ethical computer vision BibRef

Ma, T.[Tian], Bamweyana, A.[Arnold], Guo, M.[Ming], Benon, K.[Kavuma],
A Face Morph Detection Method Based on Convolutional Neural Networks and Occlusion Test,
ICIVC22(158-165)
IEEE DOI 2301
Training, Visualization, Neural networks, Decision making, Training data, Robustness, Automatic Border Control (ABC), VGG19 BibRef

Mambreyan, A.[Ara], Punskaya, E.[Elena], Gunes, H.[Hatice],
Dataset Bias in Deception Detection,
ICPR22(1083-1089)
IEEE DOI 2212
Measurement, Industries, Ethics, Machine learning algorithms, Government, Machine learning, Detectors BibRef

Borghi, G.[Guido], Graffieti, G.[Gabriele], Franco, A.[Annalisa], Maltoni, D.[Davide],
Incremental Training of Face Morphing Detectors,
ICPR22(914-921)
IEEE DOI 2212
Training, Data privacy, Face recognition, Training data, Detectors, Data models, Stability analysis BibRef

Ferrari, C.[Claudio], Serpentoni, M.[Matteo], Berretti, S.[Stefano], del Bimbo, A.[Alberto],
What makes you, you? Analyzing Recognition by Swapping Face Parts,
ICPR22(945-951)
IEEE DOI 2212
Deep learning, Protocols, Shape, Face recognition, Fitting, Nose BibRef

Jevnisek, A.[Amir], Avidan, S.[Shai],
Aggregating Layers for Deepfake Detection,
ICPR22(2027-2033)
IEEE DOI 2212
Training, Deepfakes, Visualization, Aggregates, Pipelines, Feature extraction, Classification algorithms BibRef

Guan, W.N.[Wei-Nan], He, Z.[Ziwen], Wang, W.[Wei], Dong, J.[Jing], Peng, B.[Bo],
Defending Against Deepfakes with Ensemble Adversarial Perturbation,
ICPR22(1952-1958)
IEEE DOI 2212
Deepfakes, Protocols, Face recognition, Perturbation methods, Facial features, Glass box BibRef

Li, D.Z.[Dong-Ze], Zhuo, W.Q.[Wen-Qi], Wang, W.[Wei], Dong, J.[Jing],
Contrastive Knowledge Transfer for Deepfake Detection with Limited Data,
ICPR22(1945-1951)
IEEE DOI 2212
Training, Deepfakes, Solid modeling, Robustness, Data models, Task analysis BibRef

Kim, J.[Jeongho], Kim, T.[Taejune], Kim, J.[Jeonghyeon], Woo, S.S.[Simon S.],
Evading Deepfake Detectors via High Quality Face Pre-Processing Methods,
ICPR22(1937-1944)
IEEE DOI 2212
Deepfakes, Face recognition, Neural networks, Supervised learning, Pipelines, Detectors, Media BibRef

Lim, N.T.[Nyee Thoang], Kuan, M.Y.[Meng Yi], Pu, M.[Muxin], Lim, M.K.[Mei Kuan], Chong, C.Y.[Chun Yong],
Metamorphic Testing-based Adversarial Attack to Fool Deepfake Detectors,
ICPR22(2503-2509)
IEEE DOI 2212
Deepfakes, Adaptation models, System testing, Detectors, Media, Probabilistic logic, Robustness BibRef

Pavlakos, G.[Georgios], Weber, E.[Ethan], Tancik, M.[Matthew], Kanazawa, A.[Angjoo],
The One Where They Reconstructed 3D Humans and Environments in TV Shows,
ECCV22(XXXVII:732-749).
Springer DOI 2211
BibRef

Bui, T.[Tu], Yu, N.[Ning], Collomosse, J.[John],
RepMix: Representation Mixing for Robust Attribution of Synthesized Images,
ECCV22(XIV:146-163).
Springer DOI 2211

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Dong, S.C.[Shi-Chao], Wang, J.[Jin], Liang, J.J.[Jia-Jun], Fan, H.Q.[Hao-Qiang], Ji, R.[Renhe],
Explaining Deepfake Detection by Analysing Image Matching,
ECCV22(XIV:18-35).
Springer DOI 2211
BibRef

Shao, R.[Rui], Wu, T.X.[Tian-Xing], Liu, Z.W.[Zi-Wei],
Detecting and Recovering Sequential DeepFake Manipulation,
ECCV22(XIII:712-728).
Springer DOI 2211
BibRef

Gu, Z.H.[Zhi-Hao], Yao, T.P.[Tai-Ping], Chen, Y.[Yang], Ding, S.H.[Shou-Hong], Ma, L.Z.[Li-Zhuang],
Hierarchical Contrastive Inconsistency Learning for Deepfake Video Detection,
ECCV22(XII:596-613).
Springer DOI 2211
BibRef

Dufour, N.[Nicolas], Picard, D.[David], Kalogeiton, V.[Vicky],
SCAM! Transferring Humans Between Images with Semantic Cross Attention Modulation,
ECCV22(XIV:713-729).
Springer DOI 2211
BibRef

Chuang, C.C.[Chia-Chi], Yang, D.L.[Dong-Lin], Wen, C.[Chuan], Gao, Y.[Yang],
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction,
ECCV22(XXIX:392-409).
Springer DOI 2211
BibRef

Concas, S.[Sara], Perelli, G.[Gianpaolo], Marcialis, G.L.[Gian Luca], Puglisi, G.[Giovanni],
Tensor-Based Deepfake Detection in Scaled and Compressed Images,
ICIP22(3121-3125)
IEEE DOI 2211
Deep learning, Deepfakes, Image coding, Tensors, Neural networks, Feature extraction, Deepfake, face, biometric BibRef

Jia, S.[Shan], Li, X.[Xin], Lyu, S.W.[Si-Wei],
Model Attribution of Face-Swap Deepfake Videos,
ICIP22(2356-2360)
IEEE DOI 2211
Deepfakes, Image coding, Forensics, Impersonation attacks, Video compression, Robustness, Decoding, Face-swap Deepfakes, Deepfakes Generation BibRef

Sun, P.[Pu], Li, Y.[Yuezun], Qi, H.G.[Hong-Gang], Lyu, S.W.[Si-Wei],
Faketracer: Exposing Deepfakes with Training Data Contamination,
ICIP22(1161-1165)
IEEE DOI 2211
Training, Deepfakes, Training data, Security, Faces, Contamination, Proactively DeepFake Defense, Multimedia Forensics, AI Security BibRef

Chen, Q.[Qi], Tan, M.K.[Ming-Kui], Qi, Y.K.[Yuan-Kai], Zhou, J.Q.[Jia-Qiu], Li, Y.Q.[Yuan-Qing], Wu, Q.[Qi],
V2C: Visual Voice Cloning,
CVPR22(21210-21219)
IEEE DOI 2210
Measurement, Visualization, Codes, Cloning, Motion pictures, Datasets and evaluation, Vision+language, Vision+X BibRef

Kim, J.[Jiseob], Lee, J.[Jihoon], Zhang, B.T.[Byoung-Tak],
Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness,
CVPR22(10769-10778)
IEEE DOI 2210
Training, Shape, Face recognition, Computational modeling, Generators, Face and gestures BibRef

Shu, C.Y.[Chang-Yong], Wu, H.[Hemao], Zhou, H.[Hang], Liu, J.M.[Jia-Ming], Hong, Z.B.[Zhi-Bin], Ding, C.X.[Chang-Xing], Han, J.Y.[Jun-Yu], Liu, J.[Jingtuo], Ding, E.[Errui], Wang, J.D.[Jing-Dong],
Few-Shot Head Swapping in the Wild,
CVPR22(10779-10788)
IEEE DOI 2210
Head, Image color analysis, Face recognition, Entertainment industry, Skin, Task analysis BibRef

Chen, L.[Liang], Zhang, Y.[Yong], Song, Y.B.[Yi-Bing], Liu, L.Q.[Ling-Qiao], Wang, J.[Jue],
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection,
CVPR22(18689-18698)
IEEE DOI 2210
Training, Deepfakes, Sensitivity, Face recognition, Self-supervised learning, Detectors, Face and gestures BibRef

Shiohara, K.[Kaede], Yamasaki, T.[Toshihiko],
Detecting Deepfakes with Self-Blended Images,
CVPR22(18699-18708)
IEEE DOI 2210
Training, Deepfakes, Protocols, Image recognition, Face recognition, Training data, Detectors, Recognition: detection, categorization, Image and video synthesis and generation BibRef

Gerstner, C.R.[Candice R.], Farid, H.[Hany],
Detecting Real-Time Deep-Fake Videos Using Active Illumination,
WMF22(53-60)
IEEE DOI 2210
Deepfakes, Teleconferencing, Forensics, Face recognition, Lighting, Particle measurements, Real-time systems BibRef

Guarnera, L.[Luca], Giudice, O.[Oliver], Nießner, M.[Matthias], Battiato, S.[Sebastiano],
On the Exploitation of Deepfake Model Recognition,
WMF22(61-70)
IEEE DOI 2210
Training, Measurement, Deepfakes, Analytical models, Image recognition, Forensics, Pipelines BibRef

Nadimpalli, A.V.[Aakash Varma], Rattani, A.[Ajita],
On Improving Cross-dataset Generalization of Deepfake Detectors,
WMF22(91-99)
IEEE DOI 2210
Deepfakes, Detectors, Reinforcement learning, Pattern recognition BibRef

Narayan, K.[Kartik], Agarwal, H.[Harsh], Mittal, S.[Surbhi], Thakral, K.[Kartik], Kundu, S.[Suman], Vatsa, M.[Mayank], Singh, R.[Richa],
DeSI: Deepfake Source Identifier for Social Media,
FaDE-TCV22(2857-2866)
IEEE DOI 2210
Deepfakes, Social networking (online), Scalability, Blogs, Sociology BibRef

Wang, X.[Xueyu], Huang, J.J.[Jia-Jun], Ma, S.Q.[Si-Qi], Nepal, S.[Surya], Xu, C.[Chang],
DeepFake Disrupter: The Detector of DeepFake Is My Friend,
CVPR22(14900-14909)
IEEE DOI 2210
Training, Deepfakes, Perturbation methods, Pipelines, Neural networks, Detectors, Fasteners, Adversarial attack and defense BibRef

Dong, X.Y.[Xiao-Yi], Bao, J.M.[Jian-Min], Chen, D.D.[Dong-Dong], Zhang, T.[Ting], Zhang, W.M.[Wei-Ming], Yu, N.H.[Neng-Hai], Chen, D.[Dong], Wen, F.[Fang], Guo, B.[Baining],
Protecting Celebrities from DeepFake with Identity Consistency Transformer,
CVPR22(9458-9468)
IEEE DOI 2210
Degradation, Deepfakes, Face recognition, Semantics, Transformers, Forgery, Recognition: detection, categorization, retrieval, Face and gestures BibRef

Dong, C.[Chengdong], Kumar, A.[Ajay], Liu, E.[Eryun],
Think Twice Before Detecting GAN-generated Fake Images from their Spectral Domain Imprints,
CVPR22(7855-7864)
IEEE DOI 2210
Privacy, Image matching, Pipelines, Detectors, Generative adversarial networks, Security, Reliability, Vision applications and systems BibRef

Ramkissoon, A.N.[Amit Neil], Goodridge, W.[Wayne],
Detecting Fake News in MANET Messaging Using an Ensemble Based Computational Social System,
AI4DH22(278-289).
Springer DOI 2208
BibRef

Sciucca, L.D.[Laura Della], Mameli, M.[Marco], Balloni, E.[Emanuele], Rossi, L.[Luca], Frontoni, E.[Emanuele], Zingaretti, P.[Primo], Paolanti, M.[Marina],
FakeNED: A Deep Learning Based-System for Fake News Detection from Social Media,
ISHAPE22(303-313).
Springer DOI 2208
BibRef

Sannino, C.[Ciro], Gravina, M.[Michela], Marrone, S.[Stefano], Fiameni, G.[Giuseppe], Sansone, C.[Carlo],
LessonAble: Leveraging Deep Fakes in MOOC Content Creation,
CIAP22(I:27-37).
Springer DOI 2205
BibRef

Concas, S.[Sara], Gao, J.[Jie], Cuccu, C.[Carlo], Orrù, G.[Giulia], Feng, X.Y.[Xiao-Yi], Marcialis, G.L.[Gian Luca], Puglisi, G.[Giovanni], Roli, F.[Fabio],
Experimental Results on Multi-modal Deepfake Detection,
CIAP22(II:164-175).
Springer DOI 2205
BibRef

Boccignone, G.[Giuseppe], Bursic, S.[Sathya], Cuculo, V.[Vittorio], d'Amelio, A.[Alessandro], Grossi, G.[Giuliano], Lanzarotti, R.[Raffaella], Patania, S.[Sabrina],
DeepFakes Have No Heart: A Simple rPPG-Based Method to Reveal Fake Videos,
CIAP22(II:186-195).
Springer DOI 2205
BibRef

Coccomini, D.A.[Davide Alessandro], Messina, N.[Nicola], Gennaro, C.[Claudio], Falchi, F.[Fabrizio],
Combining EfficientNet and Vision Transformers for Video Deepfake Detection,
CIAP22(III:219-229).
Springer DOI 2205
BibRef

Guarnera, L.[Luca], Giudice, O.[Oliver], Battiato, S.[Sebastiano],
Deepfake Style Transfer Mixture: A First Forensic Ballistics Study on Synthetic Images,
CIAP22(II:151-163).
Springer DOI 2205
BibRef

Li, B.[Boqun], Qian, Z.[Zhong], Li, P.F.[Pei-Feng], Zhu, Q.M.[Qiao-Ming],
Multi-Modal Fusion Network for Rumor Detection with Texts and Images,
MMMod22(I:15-27).
Springer DOI 2203
Best paper section BibRef

Vo, N.H.[Ngan Hoang], Phan, K.D.[Khoa D.], Tran, A.D.[Anh-Duy], Dang-Nguyen, D.T.[Duc-Tien],
Adversarial Attacks on Deepfake Detectors: A Practical Analysis,
MMMod22(II:318-330).
Springer DOI 2203
BibRef

Kwon, P.[Patrick], You, J.[Jaeseong], Nam, G.[Gyuhyeon], Park, S.[Sungwoo], Chae, G.[Gyeongsu],
KoDF: A Large-scale Korean DeepFake Detection Dataset,
ICCV21(10724-10733)
IEEE DOI 2203
Databases, Metadata, Faces, Videos, Information integrity, Datasets and evaluation, Faces, Image and video synthesis BibRef

Yu, N.[Ning], Skripniuk, V.[Vladislav], Abdelnabi, S.[Sahar], Fritz, M.[Mario],
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data,
ICCV21(14428-14437)
IEEE DOI 2203
Visualization, Technological innovation, Computational modeling, Weapons, Training data, Fingerprint recognition, Data models, Image and video manipulation detection and integrity methods. BibRef

Zhou, Y.[Yipin], Lim, S.N.[Ser-Nam],
Joint Audio-Visual Deepfake Detection,
ICCV21(14780-14789)
IEEE DOI 2203
Deep learning, Visualization, Computational modeling, Synchronization, Speech synthesis, Task analysis, Vision + other modalities BibRef

Zhao, T.C.[Tian-Chen], Xu, X.[Xiang], Xu, M.Z.[Ming-Ze], Ding, H.[Hui], Xiong, Y.J.[Yuan-Jun], Xia, W.[Wei],
Learning Self-Consistency for Deepfake Detection,
ICCV21(15003-15013)
IEEE DOI 2203
Training, Representation learning, Image synthesis, Training data, Feature extraction, Generators, Forgery, Fairness, accountability, Faces BibRef

Cozzolino, D.[Davide], Rössler, A.[Andreas], Thies, J.[Justus], Nießner, M.[Matthias], Verdoliva, L.[Luisa],
ID-Reveal: Identity-aware DeepFake Video Detection,
ICCV21(15088-15097)
IEEE DOI 2203
Training, Image coding, Social networking (online), Training data, Robustness, Forgery, Faces, and ethics in vision BibRef

Xu, Y.[Ying], Raja, K.[Kiran], Pedersen, M.[Marius],
Supervised Contrastive Learning for Generalizable and Explainable DeepFakes Detection,
Explain-Bio22(379-389)
IEEE DOI 2202
Training, Analytical models, Visualization, Fuses, Detectors, Media BibRef

Jeong, Y.[Yonghyun], Kim, D.[Doyeon], Min, S.J.[Seung-Jai], Joe, S.[Seongho], Gwon, Y.[Youngjune], Choi, J.W.[Jong-Won],
BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection,
WACV22(2878-2887)
IEEE DOI 2202
Training, Frequency synthesizers, Image resolution, Image coding, Image color analysis, Computational modeling, Data models, Security/Surveillance BibRef

Wang, Y.H.[Yong-Hui], Zarghami, V.[Vahid], Cui, S.[Suxia],
Fake Face Detection using Local Binary Pattern and Ensemble Modeling,
ICIP21(3917-3921)
IEEE DOI 2201
Deep learning, Image texture, Image color analysis, Image representation, Feature extraction, Ensemble model BibRef

Wang, X.[Xiying], Ni, R.R.[Rong-Rong], Li, W.J.[Wen-Jie], Zhao, Y.[Yao],
Adversarial Attack on Fake-Faces Detectors Under White and Black Box Scenarios,
ICIP21(3627-3631)
IEEE DOI 2201
Forensics, Detectors, Generative adversarial networks, Feature extraction, Generators, Security, Adversarial attack, Forensic models BibRef

Lu, C.L.[Chang-Lei], Liu, B.[Bin], Zhou, W.B.[Wen-Bo], Chu, Q.[Qi], Yu, N.H.[Neng-Hai],
Deepfake Video Detection Using 3D-Attentional Inception Convolutional Neural Network,
ICIP21(3572-3576)
IEEE DOI 2201
Solid modeling, Image processing, Data models, Security, Convolutional neural networks, Deepfake Detection, 3D Attention BibRef

Hu, J.S.[Jia-Shang], Wang, S.L.[Shi-Lin], Li, X.Y.[Xiao-Yong],
Improving the Generalization Ability of Deepfake Detection via Disentangled Representation Learning,
ICIP21(3577-3581)
IEEE DOI 2201
Deep learning, Neural networks, Feature extraction, Forgery, Data mining, Faces, Disentangle representation learning, deep neural network BibRef

Song, L.C.[Lu-Chuan], Yin, G.J.[Guo-Jun], Liu, B.[Bin], Zhang, Y.H.[Yu-Hui], Yu, N.H.[Neng-Hai],
Fsft-Net: Face Transfer Video Generation With Few-Shot Views,
ICIP21(3582-3586)
IEEE DOI 2201
Training, Deep learning, Image processing, Distortion, Generators, Task analysis, Faces, Face Transfer, Adversarial Training, Deepfake Generation BibRef

Li, G.[Gen], Cao, Y.[Yun], Zhao, X.F.[Xian-Feng],
Exploiting Facial Symmetry to Expose Deepfakes,
ICIP21(3587-3591)
IEEE DOI 2201
Feature extraction, Data models, Faces, Videos, Information integrity, Residual neural networks, angular hyperspace BibRef

Ren, Y.Z.[Yan-Zhen], Liu, W.Y.[Wu-Yang], Liu, D.K.[Deng-Kai], Wang, L.[Lina],
Recalibrated Bandpass Filtering on Temporal Waveform for Audio Spoof Detection,
ICIP21(3907-3911)
IEEE DOI 2201
Filtering, Convolution, Tools, Feature extraction, Cognition, Speech synthesis, Audio spoof detection, Deepfake, ASVspoof BibRef

Liao, Q.Y.[Quan-Yu], Li, Y.Z.[Yue-Zun], Wang, X.[Xin], Kong, B.[Bin], Zhu, B.[Bin], Lyu, S.W.[Si-Wei], Yin, Y.B.[You-Bing], Song, Q.[Qi], Wu, X.[Xi],
Imperceptible Adversarial Examples for Fake Image Detection,
ICIP21(3912-3916)
IEEE DOI 2201
Perturbation methods, Image processing, Detectors, Videos, Information integrity, Deepfake, Adversarial Example BibRef

Das, S.[Sowmen], Seferbekov, S.[Selim], Datta, A.[Arup], Islam, M.S.[Md. Saiful], Amin, M.R.[Md. Ruhul],
Towards Solving the DeepFake Problem : An Analysis on Improving DeepFake Detection using Dynamic Face Augmentation,
RPRMI21(3769-3778)
IEEE DOI 2112
Training, Pipelines, Training data, Data models, Robustness, Faces BibRef

Huang, J.J.[Jia-Jun], Wang, X.[Xueyu], Du, B.[Bo], Du, P.[Pei], Xu, C.[Chang],
DeepFake MNIST+: A DeepFake Facial Animation Dataset,
AIM21(1973-1982)
IEEE DOI 2112
Image recognition, Face recognition, Detectors, Generators, Facial animation, Security BibRef

Zhao, H.Q.[Han-Qing], Wei, T.Y.[Tian-Yi], Zhou, W.B.[Wen-Bo], Zhang, W.M.[Wei-Ming], Chen, D.D.[Dong-Dong], Yu, N.H.[Neng-Hai],
Multi-attentional Deepfake Detection,
CVPR21(2185-2194)
IEEE DOI 2111
Measurement, Semantics, Feature extraction, Forgery, Feeds, Task analysis BibRef

Sun, Z.K.[Ze-Kun], Han, Y.J.[Yu-Jie], Hua, Z.[Zeyu], Ruan, N.[Na], Jia, W.J.[Wei-Jia],
Improving the Efficiency and Robustness of Deepfakes Detection through Precise Geometric Features,
CVPR21(3608-3617)
IEEE DOI 2111
Recurrent neural networks, Feature extraction, Robustness, Organ transplantation, Complexity theory BibRef

Chen, Z.K.[Zhi-Kai], Xie, L.X.[Ling-Xi], Pang, S.M.[Shan-Min], He, Y.[Yong], Zhang, B.[Bo],
MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes,
CVPR21(9010-9019)
IEEE DOI 2111
Visualization, Perturbation methods, Pipelines, Semantics, Prediction algorithms, Task analysis BibRef

Li, D.Z.[Dong-Ze], Wang, W.[Wei], Fan, H.X.[Hong-Xing], Dong, J.[Jing],
Exploring Adversarial Fake Images on Face Manifold,
CVPR21(5785-5794)
IEEE DOI 2111
Manifolds, Visualization, Privacy, Image forensics, Ethics, Face recognition BibRef

Black, A.[Alexander], Bui, T.[Tu], Jin, H.L.[Hai-Lin], Swaminathan, V.[Vishy], Collomosse, J.[John],
Deep Image Comparator: Learning to Visualize Editorial Change,
WMF21(972-980)
IEEE DOI 2109
Heating systems, Training, Location awareness, Degradation, Visualization, Databases, Shape BibRef

Hosler, B.[Brian], Salvi, D.[Davide], Murray, A.[Anthony], Antonacci, F.[Fabio], Bestagini, P.[Paolo], Tubaro, S.[Stefano], Stamm, M.C.[Matthew C.],
Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes Via Emotional Inconsistencies,
WMF21(1013-1022)
IEEE DOI 2109
Emotion recognition, Law, Semantics, Speech recognition, Media, Forgery BibRef

Kim, M.[Minha], Tariq, S.[Shahroz], Woo, S.S.[Simon S.],
FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning,
WMF21(1001-1012)
IEEE DOI 2109
Adaptation models, Computational modeling, Transfer learning, Data models BibRef

Neekhara, P.[Paarth], Dolhansky, B.[Brian], Bitton, J.[Joanna], Ferrer, C.C.[Cristian Canton],
Adversarial Threats to DeepFake Detection: A Practical Perspective,
WMF21(923-932)
IEEE DOI 2109
Social networking (online), Perturbation methods, Neural networks, Multimedia Web sites, Detectors, Security BibRef

Tinsley, P.[Patrick], Czajka, A.[Adam], Flynn, P.J.[Patrick J.],
This Face Does Not Exist... But It Might Be Yours! Identity Leakage in Generative Models,
WACV21(1319-1327)
IEEE DOI 2106
Training, Image resolution, Databases, Training data, Generative adversarial networks, Data models, Faces BibRef

Trinh, L.[Loc], Tsang, M.[Michael], Rambhatla, S.[Sirisha], Liu, Y.[Yan],
Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes,
WACV21(1972-1982)
IEEE DOI 2106
Visualization, Prototypes, Detectors, Forgery, Faces BibRef

Hussain, S.[Shehzeen], Neekhara, P.[Paarth], Jere, M.[Malhar], Koushanfar, F.[Farinaz], McAuley, J.[Julian],
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples,
WACV21(3347-3356)
IEEE DOI 2106
Industries, Perturbation methods, Pipelines, Neural networks, Detectors, Media, Video compression BibRef

Zhang, Z.W.[Zhe-Wei], Mal, C.[Can], Ding, B.[Bowen], Gao, M.[Meilin],
Detecting Manipulated Facial Videos: A Time Series Solution,
ICPR21(2817-2823)
IEEE DOI 2105
Deep learning, Correlation, Face recognition, Time series analysis, Memory architecture, Physiology, Complexity theory, pattern recognization BibRef

Bonettini, N.[Nicolò], Cannas, E.D.[Edoardo Daniele], Mandelli, S.[Sara], Bondi, L.[Luca], Bestagini, P.[Paolo], Tubaro, S.[Stefano],
Video Face Manipulation Detection Through Ensemble of CNNs,
ICPR21(5012-5019)
IEEE DOI 2105
Training, Computational modeling, Veins, Video sequences, Tools, Feature extraction, Data models, deepfake, video forensics, attention BibRef

Li, M.[Meng], Liu, B.B.[Bei-Bei], Hu, Y.J.[Yong-Jian], Wang, Y.F.[Yu-Fei],
Exposing Deepfake Videos by Tracking Eye Movements,
ICPR21(5184-5189)
IEEE DOI 2105
Support vector machines, Tracking, Neural networks, Media, Tools, Feature extraction, Physiology BibRef

Liu, Y.C.[Yu-Cheng], Chang, C.M.[Chia-Ming], Chen, I.H.[I-Hsuan], Ku, Y.R.[Yu-Ru], Chen, J.C.[Jun-Cheng],
An Experimental Evaluation of Recent Face Recognition Losses for Deepfake Detection,
ICPR21(9827-9834)
IEEE DOI 2105
Face recognition, Network architecture, Data models, Task analysis, Faces, Videos, Information integrity BibRef

Masi, I.[Iacopo], Killekar, A.[Aditya], Mascarenhas, R.M.[Royston Marian], Gurudatt, S.P.[Shenoy Pratik], Abd Almageed, W.[Wael],
Two-branch Recurrent Network for Isolating Deepfakes in Videos,
ECCV20(VII:667-684).
Springer DOI 2011
BibRef

Gu, Y.W.[Ye-Wei], Zhao, X.F.[Xian-Feng], Gong, C.[Chen], Yi, X.W.[Xiao-Wei],
Deepfake Video Detection Using Audio-visual Consistency,
IWDW20(168-180).
Springer DOI 2103
BibRef

Schütz, M.[Mina], Schindler, A.[Alexander], Siegel, M.[Melanie], Nazemi, K.[Kawa],
Automatic Fake News Detection with Pre-trained Transformer Models,
RISS20(627-641).
Springer DOI 2103
BibRef

Tolosana, R.[Ruben], Romero-Tapiador, S.[Sergio], Fierrez, J.[Julian], Vera-Rodriguez, R.[Ruben],
Deepfakes Evolution: Analysis of Facial Regions and Fake Detection Performance,
IWBDAF20(442-456).
Springer DOI 2103
BibRef

Mishra, R.,
Fake News Detection using Higher-order User to User Mutual-attention Progression in Propagation Paths,
WMF20(2775-2783)
IEEE DOI 2008
Feature extraction, Twitter, Linear programming, Linguistics, Time series analysis BibRef

Chai, L.[Lucy], Bau, D.[David], Lim, S.N.[Ser-Nam], Isola, P.[Phillip],
What Makes Fake Images Detectable? Understanding Properties that Generalize,
ECCV20(XXVI:103-120).
Springer DOI 2011
BibRef

Zhou, J., Pun, C.M., Tong, Y.,
News Image Steganography: A Novel Architecture Facilitates the Fake News Identification,
VCIP20(235-238)
IEEE DOI 2102
Decoding, Training, Perturbation methods, Forgery, Printers, Media, image steganography, information hiding, fake news identification BibRef

Choi, D.H., Lee, H.J., Lee, S., Kim, J.U., Ro, Y.M.,
Fake Video Detection With Certainty-Based Attention Network,
ICIP20(823-827)
IEEE DOI 2011
DeepFake video detection, predictive uncertainty, certainty-key frame, certainty-based attention BibRef

Fernandes, S., Raj, S., Ewetz, R., Pannu, J.S., Jha, S.K.[S. Kumar], Ortiz, E., Vintila, I., Salter, M.,
Detecting Deepfake Videos using Attribution-Based Confidence Metric,
CVPM20(1250-1259)
IEEE DOI 2008
Videos, Face, Measurement, Computational modeling, Training data, Machine learning, Databases BibRef

Tursman, E., George, M., Kamara, S., Tompkin, J.,
Towards Untrusted Social Video Verification to Combat Deepfakes via Face Geometry Consistency,
WMF20(2784-2793)
IEEE DOI 2008
Face, Streaming media, Principal component analysis, Cameras, Mouth, Covariance matrices, Geometry BibRef

Khalid, H., Woo, S.S.,
OC-FakeDect: Classifying Deepfakes Using One-class Variational Autoencoder,
WMF20(2794-2803)
IEEE DOI 2008
Face, Training, Image reconstruction, Forensics, Streaming media, Anomaly detection, Benchmark testing BibRef

Carlini, N., Farid, H.,
Evading Deepfake-Image Detectors with White- and Black-Box Attacks,
WMF20(2804-2813)
IEEE DOI 2008
Forensics, Generators, Perturbation methods, Training, Twitter, Robustness, Optimization BibRef

Agarwal, S.[Shruti], Farid, H.[Hany],
Detecting Deep-Fake Videos from Aural and Oral Dynamics,
WMF21(981-989)
IEEE DOI 2109
Irrigation, Shape, Tracking, Face recognition, Forensics, Dynamics, Mouth BibRef

Agarwal, S.[Shruti], Farid, H.[Hany], Fried, O., Agrawala, M.,
Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches,
WMF20(2814-2822)
IEEE DOI 2008
Videos, Lips, Face, Shape, Teeth, Robustness BibRef

Guarnera, L., Giudice, O., Battiato, S.,
DeepFake Detection by Analyzing Convolutional Traces,
WMF20(2841-2850)
IEEE DOI 2008
Generative adversarial networks, Videos, Data models, Convolution, Feature extraction BibRef

Montserrat, D.M., Hao, H., Yarlagadda, S.K., Baireddy, S., Shao, R., Horváth, J., Bartusiak, E., Yang, J., Güera, D., Zhu, F., Delp, E.J.,
Deepfakes Detection with Automatic Face Weighting,
WMF20(2851-2859)
IEEE DOI 2008
Face, Feature extraction, Streaming media, Recurrent neural networks, Training, Tools, Social network services BibRef

Li, Y., Yang, X., Sun, P., Qi, H., Lyu, S.,
Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics,
CVPR20(3204-3213)
IEEE DOI 2008
Videos, Visualization, Image color analysis, Decoding, YouTube, Training, Detection algorithms BibRef

Wang, Y., Dantcheva, A.,
A video is worth more than 1000 lies. Comparing 3DCNN approaches for detecting deepfakes,
FG20(515-519)
IEEE DOI 2102
Videos, Information integrity, Training, Face recognition, Solid modeling, Faces BibRef

Tong, X., Wang, L., Pan, X., Wang, J.G.,
An Overview of Deepfake: The Sword of Damocles in AI,
CVIDL20(265-273)
IEEE DOI 2102
face recognition, feature extraction, image classification, video signal processing, confrontation detection, Variational Auto-Encoder BibRef

Yeh, C., Chen, H., Tsai, S., Wang, S.,
Disrupting Image-Translation-Based DeepFake Algorithms with Adversarial Attacks,
WACVWS20(53-62)
IEEE DOI 2006
Generators, Mathematical model, Hair, Software algorithms, Software, Machine learning BibRef

Matern, F., Riess, C., Stamminger, M.,
Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations,
IVF19(83-92)
IEEE DOI 1902
Face, Visualization, Lighting, Estimation, Geometry BibRef

Jeon, H., Bang, Y., Woo, S.S.,
FakeTalkerDetect: Effective and Practical Realistic Neural Talking Head Detection with a Highly Unbalanced Dataset,
HBU19(1285-1287)
IEEE DOI 2004
face recognition, learning (artificial intelligence), neural nets, video signal processing, FakeTalkerDetect, few shot learning BibRef

He, P., Li, H., Wang, H.,
Detection of Fake Images Via The Ensemble of Deep Representations from Multi Color Spaces,
ICIP19(2299-2303)
IEEE DOI 1910
generative adversarial network, fake image detection, multi color spaces, random forest BibRef

Huh, M.Y.[Min-Young], Liu, A.[Andrew], Owens, A.[Andrew], Efros, A.A.[Alexei A.],
Fighting Fake News: Image Splice Detection via Learned Self-Consistency,
ECCV18(XI: 106-124).
Springer DOI 1810
BibRef

Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Face Swapping .