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 1 | # Image steganalysis based on deep learning
 2 | 
 3 | SiaStegNet ZhuNet SRNet Yedroudj-Net Ye-Net 
 4 | 
 5 | | Survey Paper                                                 | Conference&Journal |
 6 | | ------------------------------------------------------------ | ------------------ |
 7 | | [Deep Learning Applied to Steganalysis of Digital Images: A Systematic Review](https://ieeexplore.ieee.org/document/8718661) | IEEE ACCESS 2019   |
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 9 | 
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11 | | Paper                                                        | Method         | Conference&Journal                               | Code                                                         |
12 | | :----------------------------------------------------------- | -------------- | ------------------------------------------------ | ------------------------------------------------------------ |
13 | | [A Siamese CNN for Image Steganalysis](https://ieeexplore.ieee.org/document/9153041) | SiaStegNet     | IEEE TIFS 2021                                   | [Pytorch](https://github.com/SiaStg/SiaStegNet):Official     |
14 | | [Depth-Wise Separable Convolutions and Multi-Level Pooling for an Efficient Spatial CNN-Based Steganalysis](https://ieeexplore.ieee.org/document/8809687) | ZhuNet         | IEEE TIFS 2020                                   | [Pytorch](https://github.com/1204BUPT/Zhu-Net-image-steganalysis):Official |
15 | | [Deep Residual Network for Steganalysis of Digital Images](https://ieeexplore.ieee.org/document/8470101) | SRNet          | IEEE TIFS 2019                                   | [Tensorflow](http://dde.binghamton.edu/download/feature_extractors/ ):Official Pytorch: [code1](https://github.com/brijeshiitg/Pytorch-implementation-of-SRNet)  [code2]( https://github.com/Uranium-Deng/Steganalysis-StegoRemoval) |
16 | | [Yedrouj-Net: An efficient CNN for spatial steganalysis](https://hal-lirmm.ccsd.cnrs.fr/lirmm-01717550/document) | Yedroudj-Net   | IEEE ICASSP 2018                                 | [Pytorch&Caffe](https://github.com/yedmed/steganalysis_with_CNN_Yedroudj-Net):Official |
17 | | [Deep Learning Hierarchical Representations for Image Steganalysis](https://bv.univ-poitiers.fr/access/content/user/bdiall03/PhD_Image_Forensic_XLIM/Articles/CNN-MF/Deep%20Learning%20Steganalysis2017.pdf) | Ye-Net         | IEEE TIFS 2017                                   | Tensorflow:[code1](https://github.com/Caenorst/YeNet-Tensorflow)  [code2](https://github.com/changshihyoung/TensorFlow-YeNet)  [Pytorch](https://github.com/Caenorst/YeNet-Pytorch) |
18 | | [Structural Design of Convolutional Neural Networks for Steganalysis](https://ieeexplore.ieee.org/document/7444146) | XuNet          | IEEE SPL 2016                                    |                                                              |
19 | | [Deep learning for steganalysis via convolutional neural networks](https://www.spiedigitallibrary.org/conference-proceedings-of-spie/9409/94090J/Deep-learning-for-steganalysis-via-convolutional-neural-networks/10.1117/12.2083479.short) | QianNet(GNCNN) | Media Watermarking, Security, and Forensics 2015 |                                                              |
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