23.3.9.1 Data Hiding, Steganography, Adversarial Networks, Convolutional Networks

Chapter Contents (Back)
Steganography. Steganalysis. Convolutional Neural Networks. Adversarial Networks.

Xu, G., Wu, H.Z., Shi, Y.Q.,
Structural Design of Convolutional Neural Networks for Steganalysis,
SPLetters(23), No. 5, May 2016, pp. 708-712.
IEEE DOI 1604
Computer architecture BibRef

Tang, W., Tan, S., Li, B., Huang, J.,
Automatic Steganographic Distortion Learning Using a Generative Adversarial Network,
SPLetters(24), No. 10, October 2017, pp. 1547-1551.
IEEE DOI 1710
steganography, automatic steganographic distortion learning, BibRef

Wen, J., Zhou, X., Zhong, P., Xue, Y.,
Convolutional Neural Network Based Text Steganalysis,
SPLetters(26), No. 3, March 2019, pp. 460-464.
IEEE DOI 1903
convolutional neural nets, data encapsulation, feature extraction, learning (artificial intelligence), decision strategy BibRef

Niu, Y., Wen, J., Zhong, P., Xue, Y.,
A Hybrid R-BILSTM-C Neural Network Based Text Steganalysis,
SPLetters(26), No. 12, December 2019, pp. 1907-1911.
IEEE DOI 2001
feature extraction, learning (artificial intelligence), recurrent neural nets, steganography, text analysis, local feature BibRef

Zou, Y.[Ying], Zhang, G.[Ge], Liu, L.[Leian],
Research on image steganography analysis based on deep learning,
JVCIR(60), 2019, pp. 266-275.
Elsevier DOI 1903
Steganalysis, Steganography, Feature learning, Deep learning, Convolutional neural network, Transfer learning, Multitask learning BibRef

Su, A., Zhao, X.,
Boosting Image Steganalysis Under Universal Deep Learning Architecture Incorporating Ensemble Classification Strategy,
SPLetters(26), No. 12, December 2019, pp. 1852-1856.
IEEE DOI 2001
convolutional neural nets, data compression, image classification, image coding, image fusion, ensemble BibRef

Luo, T.[Ting], Jiang, G.Y.[Gang-Yi], Yu, M.[Mei], Zhong, C.[Caiming], Xu, H.Y.[Hai-Yong], Pan, Z.Y.[Zhi-Yong],
Convolutional neural networks-based stereo image reversible data hiding method,
JVCIR(61), 2019, pp. 61-73.
Elsevier DOI 1906
Convolutional neural network (CNN), Predictor, Prediction error expansion (PEE), Stereo image BibRef

Luo, T.[Ting], Jiang, G.Y.[Gang-Yi], Yu, M.[Mei], Shao, F.[Feng], Peng, Z.J.[Zong-Ju],
Disparity based stereo image reversible data hiding,
ICIP14(5492-5496)
IEEE DOI 1502
Art BibRef

Wu, S., Zhong, S., Liu, Y.,
A Novel Convolutional Neural Network for Image Steganalysis With Shared Normalization,
MultMed(22), No. 1, January 2020, pp. 256-270.
IEEE DOI 2001
Training, Feature extraction, Standards, Convolutional neural networks, Task analysis, Data models, shared normalization BibRef

Luo, Y.J.[Yuan-Jing], Qin, J.H.[Jiao-Hua], Xi-Ang, X.[Xuyu], Tan, Y.[Yun], Liu, Q.A.[Qi-Ang], Xiang, L.Y.[Ling-Yun],
Coverless real-time image information hiding based on image block matching and dense convolutional network,
RealTimeIP(17), No. 1, February 2020, pp. 125-135.
Springer DOI 2002
BibRef

Zhou, L., Feng, G., Shen, L., Zhang, X.,
On Security Enhancement of Steganography via Generative Adversarial Image,
SPLetters(27), 2020, pp. 166-170.
IEEE DOI 2002
Steganography, adversarial attacks, GAN, security BibRef

Zhao, D.[Danyang], Wang, K.[Kaixi],
BNS-CNN: A Blind Network Steganalysis Model Based on Convolutional Neural Network in IPV6 Network,
IWDW19(365-373).
Springer DOI 2003
BibRef

Hung, S.C.[Shi-Chei], Wu, D.C.[Da-Chun], Tsai, W.H.[Wen-Hsiang],
Data Hiding in Computer-Generated Stained Glass Images and Its Applications to Information Protection,
IEICE(E103-D), No. 4, April 2020, pp. 850-865.
WWW Link. 2004
BibRef


Zhang, X.P.[Xun-Peng], Kong, X.W.[Xiang-Wei], Wang, P.[Pengda], Wang, B.[Bo],
Cover-source Mismatch in Deep Spatial Steganalysis,
IWDW19(71-83).
Springer DOI 2003
BibRef

Wu, H.B.[Hai-Bin], Li, F.Y.[Feng-Yong], Zhang, X.P.[Xin-Peng], Wu, K.[Kui],
GAN-based Steganography with the Concatenation of Multiple Feature Maps,
IWDW19(3-17).
Springer DOI 2003
BibRef

Yang, Z.L.[Zhong-Liang], Wei, N.[Nan], Liu, Q.H.[Qing-He], Huang, Y.F.[Yong-Feng], Zhang, Y.[Yujin],
GAN-TSTEGA: Text Steganography Based on Generative Adversarial Networks,
IWDW19(18-31).
Springer DOI 2003
BibRef

Xue, Y.M.[Yi-Ming], Peng, W.L.[Wan-Li], Wang, Y.Z.[Yu-Zhu], Wen, J.[Juan], Zhong, P.[Ping],
Optimized CNN with Point-wise Parametric Rectified Linear Unit for Spatial Image Steganalysis,
IWDW19(32-42).
Springer DOI 2003
BibRef

Zhang, J.H.[Jing-Hong], Yi, X.W.[Xiao-Wei], Zhao, X.F.[Xian-Feng], Cao, Y.[Yun],
Light Multiscale Conventional Neural Network for MP3 Steganalysis,
IWDW19(43-56).
Springer DOI 2003
BibRef

Li, Q.J.[Qiang-Jie], Feng, G.[Guorui], Wu, H.Z.[Han-Zhou], Zhang, X.P.[Xin-Peng],
Ensemble Steganalysis Based on Deep Residual Network,
IWDW19(84-95).
Springer DOI 2003
BibRef

Zhang, S.Y.[Shi-Yang], Zhang, H.[Hong], Zhao, X.F.[Xian-Feng], Yu, H.B.[Hai-Bo],
A Deep Residual Multi-scale Convolutional Network for Spatial Steganalysis,
IWDW18(40-52).
Springer DOI 1905
BibRef

Lu, Y.Y., Yang, Z.L.O., Zheng, L., Zhang, Y.,
Importance of Truncation Activation in Pre-Processing for Spatial and Jpeg Image Steganalysis,
ICIP19(689-693)
IEEE DOI 1910
image steganalysis, image pre-processing, convolutional neural network, truncation activation BibRef

Zhang, Q.[Qian], Zhao, X.F.[Xian-Feng], Liu, C.J.[Chang-Jun],
Convolutional Neural Network for Larger JPEG Images Steganalysis,
IWDW18(14-28).
Springer DOI 1905
BibRef

Zha, H., Zhang, W., Qin, C., Yu, N.,
Direct Adversarial Attack on Stego Sandwiched Between Black Boxes,
ICIP19(2284-2288)
IEEE DOI 1910
adversarial attack, steganography, deep learning, steganalysis BibRef

Liu, J.Y.[Jia-Yang], Zhang, W.M.[Wei-Ming], Zhang, Y.[Yiwei], Hou, D.D.[Dong-Dong], Liu, Y.[Yujia], Zha, H.Y.[Hong-Yue], Yu, N.H.[Neng-Hai],
Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View,
CVPR19(4820-4829).
IEEE DOI 2002
BibRef

Sharifzadeh, M., Agarwal, C., Aloraini, M., Schonfeld, D.,
Convolutional neural network steganalysis's application to steganography,
VCIP17(1-4)
IEEE DOI 1804
convolution, feedforward neural nets, image coding, statistical analysis, steganography, image steganography, Smoothing methods BibRef

Raval, N., Machanavajjhala, A., Cox, L.P.,
Protecting Visual Secrets Using Adversarial Nets,
PRIV17(1329-1332)
IEEE DOI 1709
Cameras, Feeds, Loss measurement, Machine learning, Privacy, Training, Visualization BibRef

Qian, Y., Dong, J., Wang, W., Tan, T.,
Learning and transferring representations for image steganalysis using convolutional neural network,
ICIP16(2752-2756)
IEEE DOI 1610
Convolution BibRef

Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Data Hiding, Steganography, LSB, Least Significant Bit .


Last update:May 26, 2020 at 12:00:59