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Face liveness detection, Anisotropic diffusion,
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Face presentation attack, Face recognition,
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Feature extraction, Detectors, Forensics, Image color analysis,
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Deep Learning, Face Recognition, Adversarial attacks,
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Face image manipulation, Passive image forensics, Manipulation traces extraction
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Backdoor attacks to CNN, Face verification, Biometric security,
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Fake face imagery anti-forensics, Imperceptible attacks,
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Adversarial Attack, Deep Neural Networks, White-Box Attack,
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Identity Unbiased Deception Detection by 2D-to-3D Face Reconstruction,
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2106
Video sequences, Pipelines, Feature extraction, Real-time systems,
Magnetic heads, Reliability, Convolutional neural networks
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Manipulated videos, Deepfakes, Video forensics, Local Derivative Patterns
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Unseen Face Presentation Attack Detection Using Sparse Multiple
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2110
Faces, Kernel, Face recognition, Training, Anomaly detection,
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Presentation attack detection,
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NPT-Loss:
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2311
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Automated border control, Face verification, Morphing attacks,
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2209
Morphing attacks, Morphing attack detection, Face recognition,
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2210
adversarial attacks, face recognition, gender classification, privacy protection
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A Liveness-Enforcing Supervisor Tolerant to Sensor-Reading
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IEEE DOI
2203
Robot sensing systems, Control systems, Actuators, Petri nets,
Directed graphs, Supervisory control, Security, Attacks,
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Zheng, X.[Xin],
Fan, Y.B.[Yan-Bo],
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Robust Physical-World Attacks on Face Recognition,
PR(133), 2023, pp. 109009.
Elsevier DOI
2210
Physical-world adversarial attack, Face recognition,
Environmental variations, Curriculum learning
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Zhang, W.T.[Wen-Tian],
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2211
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2212
Face presentation attack detection,
Learnable gradient operator, Depth-supervised network
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2302
Faces, Detectors, Perturbation methods, Forensics, Visualization,
Face recognition, Generative adversarial networks, double mask
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SonarGuard: Ultrasonic Face Liveness Detection on Mobile Devices,
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IEEE DOI
2308
Ultrasonic imaging, Lips, Faces, Hardware, Mobile handsets,
Face recognition, Authentication, Liveness detection,
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Attention-guided evolutionary attack with elastic-net regularization
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PR(143), 2023, pp. 109760.
Elsevier DOI
2310
Face recognition, Convolutional neural networks,
Adversarial examples, Evolutionary attack, Attention mechanisms
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2311
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ICCV23(19605-19615)
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2401
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Fairness in face presentation attack detection,
PR(147), 2024, pp. 110002.
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2312
Face presentation attack detection, Fairness assessment, Bias mitigation
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The Probabilistic Liveness Decision Method of Unbounded Petri Nets
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SMCS(54), No. 2, February 2024, pp. 1070-1081.
IEEE DOI
2402
System recovery, Feature extraction, Machine learning,
Probabilistic logic, Petri nets, Logic gates, Convolution,
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SMCS(54), No. 7, July 2024, pp. 3908-3919.
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2406
System recovery, Petri nets, Computational complexity, Explosions,
Analytical models, Vectors, Manufacturing systems, Petri nets (PNs)
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PAMI(47), No. 3, March 2025, pp. 1818-1831.
IEEE DOI
2502
Face recognition, Faces, Feature extraction, Generators, Training,
Image reconstruction, Anomaly detection, Data models,
diffusion model
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Ramachandra, R.[Raghavendra],
Vetrekar, N.[Narayan],
Venkatesh, S.[Sushma],
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Gad, R.S.,
VoxAtnNet: A 3D Point Clouds Convolutional Neural Network for
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FG24(1-9)
IEEE DOI
2408
Point cloud compression, Performance evaluation, Protocols,
Face recognition, Instruments, Gesture recognition
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Li, Q.[Qian],
Hu, Y.X.[Yu-Xiao],
Liu, Y.[Ye],
Zhang, D.X.[Dong-Xiao],
Jin, X.[Xin],
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Discrete Point-Wise Attack is Not Enough: Generalized Manifold
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CVPR23(20575-20584)
IEEE DOI
2309
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Li, Y.J.[Yan-Jie],
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Dai, X.L.[Xue-Long],
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Physical-World Optical Adversarial Attacks on 3D Face Recognition,
CVPR23(24699-24708)
IEEE DOI
2309
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Li, Z.X.[Ze-Xin],
Yin, B.[Bangjie],
Yao, T.P.[Tai-Ping],
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Ding, S.H.[Shou-Hong],
Chen, S.[Simin],
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Sibling-Attack: Rethinking Transferable Adversarial Attacks against
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CVPR23(24626-24637)
IEEE DOI
2309
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Shamshad, F.[Fahad],
Srivatsan, K.[Koushik],
Nandakumar, K.[Karthik],
Evading Forensic Classifiers with Attribute-Conditioned Adversarial
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IEEE DOI
2309
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Mundra, S.[Shivansh],
Porcile, G.J.A.[Gonzalo J. Aniano],
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Farid, H.[Hany],
Exposing GAN-Generated Profile Photos from Compact Embeddings,
WMF23(884-892)
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2309
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Deb, D.[Debayan],
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Jain, A.K.[Anil K.],
FaceGuard: A Self-Supervised Defense Against Adversarial Face Images,
FG23(1-8)
IEEE DOI
2303
Training, Codes, Purification, Face recognition,
Perturbation methods, Gesture recognition
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Thakral, K.[Kartik],
Mittal, S.[Surbhi],
Vatsa, M.[Mayank],
Singh, R.[Richa],
PhygitalNet: Unified Face Presentation Attack Detection via One-Class
Isolation Learning,
FG23(1-6)
IEEE DOI
2303
Training, Face recognition, Biological system modeling,
Gesture recognition, Performance gain, Classification algorithms, Faces
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Shmelkin, R.[Ron],
Friedlander, T.[Tomer],
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Generating Master Faces for Dictionary Attacks with a
Network-Assisted Latent Space Evolution,
FG21(01-08)
IEEE DOI
2303
Dictionaries, Face recognition, Sociology,
Neural networks, Gesture recognition, Evolutionary computation
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Vepakomma, P.[Praneeth],
Singh, A.[Abhishek],
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Gupta, O.[Otkrist],
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NoPeek-Infer: Preventing face reconstruction attacks in distributed
inference after on-premise training,
FG21(1-8)
IEEE DOI
2303
Training, Privacy, Correlation, Computational modeling,
Distributed databases, Machine learning, Predictive models
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Shao, R.[Rui],
Zhang, B.[Bochao],
Yuen, P.C.[Pong C.],
Patel, V.M.[Vishal M.],
Federated Test-Time Adaptive Face Presentation Attack Detection with
Dual-Phase Privacy Preservation,
FG21(1-8)
IEEE DOI
2303
Training, Adaptation models, Data privacy, Data centers,
Face recognition, Soft sensors, Predictive models
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Hamblin, J.[Jennifer],
Nikhal, K.[Kshitij],
Riggan, B.S.[Benjamin S.],
Understanding Cross Domain Presentation Attack Detection for Visible
Face Recognition,
FG21(1-8)
IEEE DOI
2303
Training, Costs, Protocols, Shape, Face recognition, Transforms, Sensor systems
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Mirzaalian, H.[Hengameh],
Hussein, M.E.[Mohamed E.],
Spinoulas, L.[Leonidas],
May, J.[Jonathan],
Abd-Almageed, W.[Wael],
Explaining Face Presentation Attack Detection Using Natural Language,
FG21(1-8)
IEEE DOI
2303
Training, Face recognition, Biological system modeling,
Natural languages, Semantics, Neural networks, Predictive models
BibRef
Deb, D.[Debayan],
Liu, X.M.[Xiao-Ming],
Jain, A.K.[Anil K.],
Unified Detection of Digital and Physical Face Attacks,
FG23(1-8)
IEEE DOI
2303
Codes, Face recognition, Gesture recognition, Detectors,
Multitasking, Faces
BibRef
Wang, H.R.[Han-Rui],
Wang, S.[Shuo],
Jin, Z.[Zhe],
Wang, Y.D.[Yan-Dan],
Chen, C.J.[Cun-Jian],
Tistarelli, M.[Massimo],
Similarity-based Gray-box Adversarial Attack Against Deep Face
Recognition,
FG21(1-8)
IEEE DOI
2303
Resistance, Data privacy, Databases, Face recognition,
Authentication, Gesture recognition
BibRef
Al-Refai, R.[Rouqaiah],
Nandakumar, K.[Karthik],
A Unified Model for Face Matching and Presentation Attack Detection
using an Ensemble of Vision Transformer Features,
BioAttack23(662-671)
IEEE DOI
2302
Deep learning, Face recognition, Conferences, Neural networks,
Feature extraction, Transformers, Multitasking
BibRef
Rathgeb, C.,
Nichols, R.,
Ibsen, M.,
Drozdowski, P.,
Busch, C.,
Crowd-Powered Face Manipulation Detection:
Fusing Human Examiner Decisions,
ICIP22(181-185)
IEEE DOI
2211
Image analysis, Forensics, Reliability, Task analysis, Faces,
Image forensics, manipulation detection, information fusion, human examiners
BibRef
Ming, Z.H.[Zu-Heng],
Yu, Z.T.[Zi-Tong],
Al-Ghadi, M.[Musab],
Visani, M.[Muriel],
Luqman, M.M.[Muhammad Muzzamil],
Burie, J.C.[Jean-Christophe],
Vitranspad: Video Transformer Using Convolution And Self-Attention
For Face Presentation Attack Detection,
ICIP22(4248-4252)
IEEE DOI
2211
Convolution, Biometrics (access control), Computational modeling,
Neural networks, Transformers, Task analysis,
face presentation attack detection
BibRef
Guetta, N.,
Shabtai, A.,
Singh, I.,
Momiyama, S.,
Elovici, Y.,
Dodging Attack Using Carefully Crafted Natural Makeup,
Ben-Gurion Universityof the Negev, 14 Sep 2021
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2109
Mayer, J.[Jillian],
MakeUp Tutorial: How To Hide From Cameras,
YouTubeMay 30, 2013,
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1305
Cauli, N.[Nino],
Ortis, A.[Alessandro],
Battiato, S.[Sebastiano],
Fooling a Face Recognition System with a Marker-Free Label-Consistent
Backdoor Attack,
CIAP22(II:176-185).
Springer DOI
2205
BibRef
Padnevych, R.[Ruslan],
Carmo, D.[David],
Semedo, D.[David],
Magalhăes, J.[Joăo],
Temporal Convolutional Networks for Robust Face Liveness Detection,
IbPRIA22(255-267).
Springer DOI
2205
BibRef
Rostami, M.[Mohammad],
Spinoulas, L.[Leonidas],
Hussein, M.[Mohamed],
Mathai, J.[Joe],
Abd-Almageed, W.[Wael],
Detection and Continual Learning of Novel Face Presentation Attacks,
ICCV21(14831-14840)
IEEE DOI
2203
Training, Deep learning, Pollution, Neural networks, Training data,
Benchmark testing,
Machine learning architectures and formulations
BibRef
Byun, J.[Junyoung],
Go, H.[Hyojun],
Kim, C.[Changick],
Geometrically Adaptive Dictionary Attack on Face Recognition,
WACV22(3809-3818)
IEEE DOI
2202
Limiting, Dictionaries,
Perturbation methods, Face recognition, Semantics, Search problems,
Adversarial Attack and Defense Methods Deep Learning
BibRef
Singh, I.[Inderjeet],
Araki, T.[Toshinori],
Kakizaki, K.[Kazuya],
Powerful Physical Adversarial Examples Against Practical Face
Recognition Systems,
BioAttack22(301-310)
IEEE DOI
2202
Face recognition, Conferences, Machine learning,
Performance gain, Complexity theory, Risk management
BibRef
Neto, P.C.[Pedro C.],
Sequeira, A.F.[Ana F.],
Cardoso, J.S.[Jaime S.],
Myope Models:
Are face presentation attack detection models short-sighted?,
Explain-Bio22(390-399)
IEEE DOI
2202
Training, Analytical models, Error analysis, Crops,
Predictive models, Visual systems, Inspection
BibRef
Fang, M.L.[Mei-Ling],
Damer, N.[Naser],
Kirchbuchner, F.[Florian],
Kuijper, A.[Arjan],
Learnable Multi-level Frequency Decomposition and Hierarchical
Attention Mechanism for Generalized Face Presentation Attack
Detection,
WACV22(1131-1140)
IEEE DOI
2202
Training, Fuses, Frequency-domain analysis, Face recognition,
Semantics, Neural networks, Streaming media,
Biometrics Biometrics -> Face Processing
BibRef
Aghdaie, P.[Poorya],
Chaudhary, B.[Baaria],
Soleymani, S.[Sobhan],
Dawson, J.[Jeremy],
Nasrabadi, N.M.[Nasser M.],
Morph Detection Enhanced by Structured Group Sparsity,
BioAttack22(311-320)
IEEE DOI
2202
Training, Visualization, Wavelet domain, Face recognition,
Neural networks, Detectors, Feature extraction
BibRef
Ghafourian, M.[Mahdi],
Fierrez, J.[Julian],
Vera-Rodriguez, R.[Ruben],
Serna, I.[Ignacio],
Morales, A.[Aythami],
OTB-morph: One-Time Biometrics via Morphing applied to Face Templates,
BioAttack22(321-329)
IEEE DOI
2202
Visualization, Face recognition, Conferences, Aging, Servers, Cryptography
BibRef
Ramachandra, R.[Raghavendra],
Raja, K.[Kiran],
Busch, C.[Christoph],
Algorithmic Fairness in Face Morphing Attack Detection,
Perform-Bio22(410-418)
IEEE DOI
2202
Measurement, Ethics, Protocols, Law, Face recognition, Conferences,
Training data
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Fatemifar, S.[Soroush],
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Particle Swarm and Pattern Search Optimisation of An Ensemble of Face
Anomaly Detectors,
ICIP21(3622-3626)
IEEE DOI
2201
Databases, Optimization methods, Detectors,
Learning (artificial intelligence), Feature extraction, Deep Learning
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Luo, Z.B.[Zheng-Bo],
Kamata, S.I.[Sei-Ichiro],
Sun, Z.T.[Zi-Tang],
Transformer and Node-Compressed DNN Based Dual-Path System for
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ICIP21(3882-3886)
IEEE DOI
2201
Learning systems, Deep learning, Visualization, Image processing,
Pipelines, Neural networks, Ordinary differential equations,
face manipulation
BibRef
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Wang, S.[Shihe],
Zhang, J.[Jialu],
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Bai, R.B.[Rui-Bin],
Liu, J.[Jiang],
rPPG-Based Spoofing Detection for Face Mask Attack using Efficientnet
on Weighted Spatial-Temporal Representation,
ICIP21(3872-3876)
IEEE DOI
2201
Image processing, Resists, Photoplethysmography, Distortion,
Spatial databases, Noise measurement, Face spoofing detection,
spatial-temporal representation
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Damer, N.[Naser],
Raja, K.[Kiran],
Süßmilch, M.[Marius],
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Kirchbuchner, F.[Florian],
Ramachandra, R.[Raghavendra],
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ReGenMorph: Visibly Realistic GAN Generated Face Morphing Attacks by
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ISVC21(I:251-264).
Springer DOI
2112
BibRef
Damer, N.[Naser],
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PW-MAD: Pixel-Wise Supervision for Generalized Face Morphing Attack
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ISVC21(I:291-304).
Springer DOI
2112
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Xu, X.[Xiang],
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Xia, W.[Wei],
On Improving Temporal Consistency for Online Face Liveness Detection
System,
ChaLearnFAS21(824-833)
IEEE DOI
2112
Training, Adaptation models, Uncertainty,
Face recognition, Computational modeling, Conferences
BibRef
Fang, H.[Hao],
Liu, A.[Ajian],
Wan, J.[Jun],
Escalera, S.[Sergio],
Escalante, H.J.[Hugo Jair],
Lei, Z.[Zhen],
Surveillance Face Presentation Attack Detection Challenge,
ChaLearnFAS23(6361-6371)
IEEE DOI
2309
BibRef
Liu, A.[Ajian],
Zhao, C.X.[Chen-Xu],
Yu, Z.T.[Zi-Tong],
Su, A.Y.[An-Yang],
Liu, X.[Xing],
Kong, Z.J.[Zi-Jian],
Wan, J.[Jun],
Escalera, S.[Sergio],
Escalante, H.J.[Hugo Jair],
Lei, Z.[Zhen],
Guo, G.D.[Guo-Dong],
3D High-Fidelity Mask Face Presentation Attack Detection Challenge,
ChaLearnFAS21(814-823)
IEEE DOI
2112
Measurement, Protocols, Face recognition, Companies
BibRef
Chen, S.[Shen],
Yao, T.P.[Tai-Ping],
Zhang, K.Y.[Ke-Yue],
Chen, Y.[Yang],
Sun, K.[Ke],
Ding, S.H.[Shou-Hong],
Li, J.L.[Ji-Lin],
Huang, F.Y.[Fei-Yue],
Ji, R.R.[Rong-Rong],
A Dual-stream Framework for 3D Mask Face Presentation Attack
Detection,
ChaLearnFAS21(834-841)
IEEE DOI
2112
Degradation,
Smoothing methods, Convolution, Face recognition, Conferences
BibRef
Grinchuk, O.[Oleg],
Parkin, A.[Aleksandr],
Glazistova, E.[Evgenija],
3D mask presentation attack detection via high resolution face parts,
ChaLearnFAS21(846-853)
IEEE DOI
2112
Training, Deep learning,
Data mining, Faces
BibRef
Wenger, E.[Emily],
Passananti, J.[Josephine],
Bhagoji, A.N.[Arjun Nitin],
Yao, Y.S.[Yuan-Shun],
Zheng, H.T.[Hai-Tao],
Zhao, B.Y.[Ben Y.],
Backdoor Attacks Against Deep Learning Systems in the Physical World,
CVPR21(6202-6211)
IEEE DOI
2111
Deep learning, Face recognition, Robustness,
Task analysis, Facial features
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Chaudhary, B.[Baaria],
Aghdaie, P.[Poorya],
Soleymani, S.[Sobhan],
Dawson, J.[Jeremy],
Nasrabadi, N.M.[Nasser M.],
Differential Morph Face Detection using Discriminative Wavelet
Sub-bands,
Biometrics21(1425-1434)
IEEE DOI
2109
Training, Wavelet domain, Protocols, Face recognition,
Frequency-domain analysis, Neural networks, Entropy
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Sabel, J.[Johan],
Johansson, F.[Fredrik],
On the Robustness and Generalizability of Face Synthesis Detection
Methods,
WMF21(962-971)
IEEE DOI
2109
Training, Learning systems, Perturbation methods,
Face recognition, Robustness
BibRef
Mallat, K.[Khawla],
Dugelay, J.L.[Jean-Luc],
Indirect synthetic attack on thermal face biometric systems via
visible-to-thermal spectrum conversion,
Biometrics21(1435-1443)
IEEE DOI
2109
Error analysis, Social networking (online),
Face recognition, Communication channels, Thermal sensors
BibRef
Soleymani, S.[Sobhan],
Dabouei, A.[Ali],
Taherkhani, F.[Fariborz],
Dawson, J.[Jeremy],
Nasrabadi, N.M.[Nasser M.],
Mutual Information Maximization on Disentangled Representations for
Differential Morph Detection,
WACV21(1730-1740)
IEEE DOI
2106
Faces, Mutual information
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Sanghvi, N.[Nilay],
Singh, S.K.[Sushant Kumar],
Agarwal, A.[Akshay],
Vatsa, M.[Mayank],
Singh, R.[Richa],
MixNet for Generalized Face Presentation Attack Detection,
ICPR21(5511-5518)
IEEE DOI
2105
Databases, Face recognition, Distance measurement, Reliability,
Convolutional neural networks, Detection algorithms
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Komkov, S.[Stepan],
Petiushko, A.[Aleksandr],
AdvHat: Real-World Adversarial Attack on ArcFace Face ID System,
ICPR21(819-826)
IEEE DOI
2105
Image color analysis, Face recognition, Printers
BibRef
Zhang, Y.G.[Yu-Ge],
Zhao, M.[Min],
Yan, L.B.[Long-Bin],
Gao, T.D.[Tian-De],
Chen, J.[Jie],
CNN-Based Anomaly Detection for Face Presentation Attack Detection
with Multi-Channel Images,
VCIP20(189-192)
IEEE DOI
2102
Face recognition, Feature extraction, Faces, Anomaly detection,
Training, Task analysis, Neural networks,
multi-channel CNN
BibRef
Kotwal, K.,
Marcel, S.,
CNN Patch Pooling for Detecting 3D Mask Presentation Attacks in NIR,
ICIP20(1336-1340)
IEEE DOI
2011
Biometrics, Face Presentation Attack Detection, 3D Mask Attacks,
Patch Pooling Layer
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Wang, S.,
Wang, O.,
Zhang, R.,
Owens, A.,
Efros, A.A.,
CNN-Generated Images Are Surprisingly Easy to Spot… for Now,
CVPR20(8692-8701)
IEEE DOI
2008
Training, Image generation, Face, Image resolution,
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BibRef
Liu, Z.,
Qi, X.,
Torr, P.H.S.,
Global Texture Enhancement for Fake Face Detection in the Wild,
CVPR20(8057-8066)
IEEE DOI
2008
Face, Skin, Face detection, Robustness,
Image color analysis, Training
BibRef
Wang, G.,
Han, H.,
Shan, S.,
Chen, X.,
Cross-Domain Face Presentation Attack Detection via Multi-Domain
Disentangled Representation Learning,
CVPR20(6677-6686)
IEEE DOI
2008
Face, Robustness, Testing, Task analysis, Training, Machine learning
BibRef
Nguyen, D.,
Arora, S.S.,
Wu, Y.,
Yang, H.,
Adversarial Light Projection Attacks on Face Recognition Systems:
A Feasibility Study,
Biometrics20(3548-3556)
IEEE DOI
2008
Face recognition, Cameras, Face, Calibration,
Real-time systems, Target recognition
BibRef
Liu, S.,
Lan, X.,
Yuen, P.C.,
Temporal Similarity Analysis of Remote Photoplethysmography for Fast
3D Mask Face Presentation Attack Detection,
WACV20(2597-2605)
IEEE DOI
2006
Face, Heart beat, Cameras, Lighting, Skin, Time-domain analysis
BibRef
Venkatesh, S.,
Ramachandra, R.,
Raja, K.,
Spreeuwers, L.J.,
Veldhuis, R.N.J.,
Busch, C.,
Detecting Morphed Face Attacks Using Residual Noise from Deep
Multi-scale Context Aggregation Network,
WACV20(269-278)
IEEE DOI
2006
Face, Noise reduction, Feature extraction, Machine learning,
Image fusion, Wavelet transforms, Reliability
BibRef
Joshi, A.,
Mukherjee, A.,
Sarkar, S.,
Hegde, C.,
Semantic Adversarial Attacks:
Parametric Transformations That Fool Deep Classifiers,
ICCV19(4772-4782)
IEEE DOI
2004
face recognition, image classification,
learning (artificial intelligence), neural nets,
Neural networks
BibRef
Rössler, A.,
Cozzolino, D.,
Verdoliva, L.,
Riess, C.,
Thies, J.,
Niessner, M.,
FaceForensics++: Learning to Detect Manipulated Facial Images,
ICCV19(1-11)
IEEE DOI
2004
data compression, face recognition, feature extraction,
image coding, image enhancement, image forensics,
Databases
BibRef
Yu, N.,
Davis, L.,
Fritz, M.,
Attributing Fake Images to GANs:
Learning and Analyzing GAN Fingerprints,
ICCV19(7555-7565)
IEEE DOI
2004
image classification, neural nets, security of data, fake images,
generative adversarial networks, photorealistic images,
Intellectual property
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Deng, J.K.[Jian-Kang],
Guo, J.[Jia],
Liu, T.L.[Tong-Liang],
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Deng, J.K.[Jian-Kang],
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ArcFace for Disguised Face Recognition,
DFW19(485-493)
IEEE DOI
2004
face recognition, feature extraction, visual databases,
intra-class compactness, inter-class discrepancy,
Disguised Face Recognition
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Chen, W.[Weilun],
Zhang, Z.X.[Zhao-Xiang],
Hu, X.L.[Xiao-Lin],
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Boosting Decision-based Black-box Adversarial Attacks with Random Sign
Flip,
ECCV20(XV:276-293).
Springer DOI
2011
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Wang, X.S.[Xiao-Sen],
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Tong, K.H.[Kang-Heng],
Gong, D.H.[Di-Hong],
He, K.[Kun],
Li, Z.F.[Zhi-Feng],
Liu, W.[Wei],
Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack,
ECCV22(V:156-174).
Springer DOI
2211
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Dong, Y.P.[Yin-Peng],
Su, H.[Hang],
Wu, B.Y.[Bao-Yuan],
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Zhu, J.[Jun],
Efficient Decision-Based Black-Box Adversarial Attacks on Face
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IEEE DOI
2002
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Shao, R.[Rui],
Lan, X.Y.[Xiang-Yuan],
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Multi-Adversarial Discriminative Deep Domain Generalization for Face
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IEEE DOI
2002
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Jia, S.[Shan],
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A Database for Face Presentation Attack Using Wax Figure Faces,
NTIAP19(39-47).
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1909
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Damer, N.[Naser],
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Kirchbuchner, F.[Florian],
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On the Detection of GAN-Based Face Morphs Using Established Morph
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CIAP19(II:345-356).
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1909
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Natsume, R.[Ryota],
Inoue, K.[Kazuki],
Fukuhara, Y.[Yoshihiro],
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Kataoka, H.[Hirokatsu],
Understanding Fake Faces,
BrainDriven18(III:566-576).
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1905
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Damer, N.[Naser],
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Wainakh, Y.[Yaza],
Boutros, F.[Fadi],
Terhörst, P.[Philipp],
Braun, A.[Andreas],
Kuijper, A.[Arjan],
Detecting Face Morphing Attacks by Analyzing the Directed Distances of
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GCPR18(518-534).
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1905
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Dabouei, A.,
Taherkhani, F.,
Soleymani, S.,
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Nasrabadi, N.M.,
Boosting Deep Face Recognition via Disentangling Appearance and
Geometry,
WACV20(309-318)
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2006
Face, Geometry, Face recognition, Training, Task analysis, Manifolds,
Loss measurement
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Dabouei, A.[Ali],
Soleymani, S.[Sobhan],
Dawson, J.[Jeremy],
Nasrabadi, N.M.[Nasser M.],
Fast Geometrically-Perturbed Adversarial Faces,
WACV19(1979-1988)
IEEE DOI
1904
face recognition, learning (artificial intelligence),
security of data,
Transforms
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Liu, J.,
Kumar, A.,
Detecting Presentation Attacks from 3D Face Masks Under Multispectral
Imaging,
DFW18(47-475)
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1812
Face, Convolution,
Biometrics (access control), Lighting, Databases, Multispectral imaging
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Sharif, M.,
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On the Suitability of Lp-Norms for Creating and Preventing
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PRIV18(1686-16868)
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1812
Machine learning, Measurement, Training, Cancer,
Object recognition, Face recognition
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Zhang, K.,
Chang, Y.,
Hsu, W.,
Deep Disguised Faces Recognition,
DFW18(32-324)
IEEE DOI
1812
Face recognition, Training, Testing, Feature extraction,
Principal component analysis, Training data, Pipelines
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Kohli, N.,
Yadav, D.,
Noore, A.,
Face Verification with Disguise Variations via Deep Disguise
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DFW18(17-177)
IEEE DOI
1812
Face, Databases, Face recognition, Training, Convolution, Image recognition
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Gupta, I.,
Bhalla, I.,
Singh, R.,
Vatsa, M.,
Scattering Transform for Matching Surgically Altered Face Images,
ICPR18(2215-2220)
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1812
Surgery, Face, Scattering, Feature extraction,
Face recognition, Wavelet transforms
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Ming, Z.,
Chazalon, J.,
Muzzamil Luqman, M.,
Visani, M.,
Burie, J.,
FaceLiveNet: End-to-End Networks Combining Face Verification with
Interactive Facial Expression-Based Liveness Detection,
ICPR18(3507-3512)
IEEE DOI
1812
Face, Face recognition, Training, Task analysis, Authentication,
Protocols, Image recognition
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Liu, S.Q.[Si-Qi],
Lan, X.Y.[Xiang-Yuan],
Yuen, P.C.[Pong C.],
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ECCV18(XVI: 577-594).
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1810
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Lavrentyeva, G.[Galina],
Kudashev, O.[Oleg],
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Interactive Photo Liveness for Presentation Attacks Detection,
ICIAR18(252-258).
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1807
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Paiz-Reyes, E.[Evelyn],
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Ablanedo, J.[Jennie],
Fairchild, E.[Elaine],
Griffith, T.[Tami],
Rodeheffer, C.[Christopher],
Is This Person Real? Avatar Stylization and Its Influence on Human
Perception in a Counseling Training Environment,
VAMR18(I: 279-289).
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Damer, N.[Naser],
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BMVC16(xx-yy).
HTML Version.
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Agarwal, A.,
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Kohli, N.,
Singh, R.,
Vatsa, M.,
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Face Presentation Attack with Latex Masks in Multispectral Videos,
PBVS17(275-283)
IEEE DOI
1709
Databases, Face, Face recognition, Probes, Videos
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Zhou, P.[Peng],
Han, X.T.[Xin-Tong],
Morariu, V.I.[Vlad I.],
Davis, L.S.[Larry S.],
Two-Stream Neural Networks for Tampered Face Detection,
MedForen17(1831-1839)
IEEE DOI
1709
Cameras, Face, Feature extraction, Lighting, Streaming media,
Support vector machines, Transform coding
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Raghavendra, R.,
Raja, K.B.,
Venkatesh, S.,
Busch, C.,
Transferable Deep-CNN Features for Detecting Digital and
Print-Scanned Morphed Face Images,
MedForen17(1822-1830)
IEEE DOI
1709
Convolution, Databases, Face, Face detection, Face recognition,
Feature, extraction
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Peng, B.,
Wang, W.,
Dong, J.,
Tan, T.,
Position Determines Perspective:
Investigating Perspective Distortion for Image Forensics of Faces,
MedForen17(1813-1821)
IEEE DOI
1709
Cameras, Distortion, Estimation, Forensics, Solid modeling,
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Seibold, C.[Clemens],
Samek, W.[Wojciech],
Hilsmann, A.[Anna],
Eisert, P.[Peter],
Detection of Face Morphing Attacks by Deep Learning,
IWDW17(107-120).
Springer DOI
1708
BibRef
Wandzik, L.[Lukasz],
Garcia, R.V.[Raul Vicente],
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CNNs Under Attack: On the Vulnerability of Deep Neural Networks Based
Face Recognition to Image Morphing,
IWDW17(121-135).
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1708
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Neubert, T.[Tom],
Face Morphing Detection: An Approach Based on Image Degradation
Analysis,
IWDW17(93-106).
Springer DOI
1708
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Nowara, E.M.,
Sabharwal, A.,
Veeraraghavan, A.,
PPGSecure: Biometric Presentation Attack Detection Using
Photopletysmograms,
FG17(56-62)
IEEE DOI
1707
Authentication, Blood, Color, Face, Feature extraction, Physiology, Skin
BibRef
Rudd, E.M.[Ethan M.],
Günther, M.,
Boult, T.E.[Terrance E.],
PARAPH: Presentation Attack Rejection by Analyzing Polarization
Hypotheses,
Biometrics16(171-178)
IEEE DOI
1612
BibRef
Melnikov, A.[Aleksandr],
Akhunzyanov, R.[Rasim],
Kudashev, O.[Oleg],
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Audiovisual Liveness Detection,
CIAP15(II:643-652).
Springer DOI
1511
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Raghavendra, R.,
Busch, C.[Christoph],
Improved face recognition by combining information from multiple
cameras in Automatic Border Control system,
AVSS15(1-6)
IEEE DOI
1511
BibRef
Earlier:
Novel presentation attack detection algorithm for face recognition
system: Application to 3D face mask attack,
ICIP14(323-327)
IEEE DOI
1502
cameras.
Databases
BibRef
Liu, W.W.[Wei-Wen],
Face liveness detection using analysis of Fourier spectra based on
hair,
ICWAPR14(75-80)
IEEE DOI
1402
Accuracy
BibRef
Peng, J.Y.[Jun-Yan],
Chan, P.P.K.[Patrick P.K.],
Face liveness detection for combating the spoofing attack in face
recognition,
ICWAPR14(176-181)
IEEE DOI
1402
Accuracy
BibRef
Yang, L.B.[Li-Bin],
Face liveness detection by focusing on frontal faces and image
backgrounds,
ICWAPR14(93-97)
IEEE DOI
1402
BibRef
d'Souza, D.[Darryl],
Yampolskiy, R.V.[Roman V.],
Natural vs. Artificial Face Classification Using Uniform Local
Directional Patterns and Wavelet Uniform Local Directional Patterns,
Biometrics14(27-33)
IEEE DOI
1409
Avatars
BibRef
Wang, Y.Y.[Yue-Yang],
Hao, X.L.[Xiao-Li],
Hou, Y.[Yali],
Guo, C.Q.[Chang-Qing],
A New Multispectral Method for Face Liveness Detection,
ACPR13(922-926)
IEEE DOI
1408
face recognition
BibRef
Yan, J.J.[Jun-Jie],
Zhang, Z.W.[Zhi-Wei],
Lei, Z.[Zhen],
Yi, D.[Dong],
Li, S.Z.,
Face liveness detection by exploring multiple scenic clues,
ICARCV12(188-193).
IEEE DOI
1304
See also Face detection by structural models.
BibRef
Markovski, J.,
Reniers, M.A.,
An integrated state- and event-based framework for verifying liveness
in supervised systems,
ICARCV12(246-251).
IEEE DOI
1304
BibRef
Hu, H.[Hesuan],
Su, R.[Rong],
A novel approach to liveness supervision of AMS with assembly
operations using Petri nets,
ICARCV12(264-269).
IEEE DOI
1304
BibRef
Peixoto, B.[Bruno],
Michelassi, C.[Carolina],
Rocha, A.[Anderson],
Face liveness detection under bad illumination conditions,
ICIP11(3557-3560).
IEEE DOI
1201
BibRef
Sun, L.[Lin],
Huang, W.B.[Wai-Bin],
Wu, M.H.[Ming-Hui],
TIR/VIS Correlation for Liveness Detection in Face Recognition,
CAIP11(II: 114-121).
Springer DOI
1109
BibRef
Tan, X.Y.[Xiao-Yang],
Li, Y.[Yi],
Liu, J.[Jun],
Jiang, L.[Lin],
Face Liveness Detection from a Single Image with Sparse Low Rank
Bilinear Discriminative Model,
ECCV10(VI: 504-517).
Springer DOI
1009
BibRef
Bao, W.[Wei],
Li, H.[Hong],
Li, N.[Nan],
Jiang, W.[Wei],
A liveness detection method for face recognition based on optical flow
field,
IASP09(233-236).
IEEE DOI
0904
BibRef
Pan, G.[Gang],
Sun, L.[Lin],
Wu, Z.H.[Zhao-Hui],
Lao, S.H.[Shi-Hong],
Eyeblink-based Anti-Spoofing in Face Recognition from a Generic
Webcamera,
ICCV07(1-8).
IEEE DOI
0710
BibRef
Chapter on Face Recognition, Human Pose, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Spoofing, Faces, Other Biometrics .