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Feature Learning for Steganalysis Using Convolutional Neural Networks
Tan TN(谭铁牛); Yinlong, Qian1,2; Jing, Dong1; Wei, Wang1,3; Tieniu, Tan1
Source PublicationMultimedia Tools and Applications
Traditional steganalysis methods usually rely on handcrafted features. However,
with the rapid development of advanced steganography, manual design of complex features
has become increasingly difficult. In this paper, we propose a new paradigm for steganalysis
based on the concept of feature learning. In our method, Convolutional Neural Network
(CNN) is used to automatically learn features for steganalysis. To make CNN work better
for steganalysis, we incorporate domain knowledge of steganalysis (i.e. enhancing stego
noise and exploiting nearby dependencies) when designing the CNN architectures. We further
propose to use model combination to boost the performance of CNN based method.
Additionally, a cropping strategy is proposed to enable the CNN based model to deal
with arbitrary input image sizes. We demonstrate the effectiveness of the proposed method
against state-of-the-art spatial domain steganographic algorithms such as HUGO,WOW, SUNIWARD,
MiPOD, and HILL-CMD. To help understand the learned features from CNN,
we provide visualizations of the learned filters and feature maps. Finally, we also provide
quantitative analysis of the learned features from convolutional layers.
KeywordFeature Learning
Document Type期刊论文
Affiliation1.Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation of the Chinese Academy of Sciences
2.Department of Automation, University of Science and Technology of China
3.State Key Laboratory of Cryptology
Recommended Citation
GB/T 7714
Tan TN,Yinlong, Qian,Jing, Dong,et al. Feature Learning for Steganalysis Using Convolutional Neural Networks[J]. Multimedia Tools and Applications,2017,0(0):1-25.
APA Tan TN,Yinlong, Qian,Jing, Dong,Wei, Wang,&Tieniu, Tan.(2017).Feature Learning for Steganalysis Using Convolutional Neural Networks.Multimedia Tools and Applications,0(0),1-25.
MLA Tan TN,et al."Feature Learning for Steganalysis Using Convolutional Neural Networks".Multimedia Tools and Applications 0.0(2017):1-25.
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