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awesome-Steganalysis-project
🍿️some awesome Steganalysis
https://github.com/zhangqizky/awesome-Steganalysis-project
Last synced: 4 days ago
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基于传统特征的图像隐写分析方法
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传统特征方法整理
- Harmsen和Pearlman提出的基于直方图特征函数质心(histogram characteristic function center of mass, HCFCOM)特征
- Ker 等[3
- Shi 等[5
- Goljan 等[6
- SRM (Spatial Rich Model)
- PSRM (Projection Spection Rich Model)
- Denemark 等在 Tang 等工作的基础上提出了一种新的通用的自适应隐写分析特征
- Tang首先提出了利用选择信道信息的自适应隐写分析(Adaptive Steganalysis)，且主要针对的是 WOW 隐写算法
- Ker 等[3
- Shi 等[5
- PSRM (Projection Spection Rich Model)
- Denemark 等在 Tang 等工作的基础上提出了一种新的通用的自适应隐写分析特征
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基于深度学习的图像隐写分析方法
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深度学习的方法整理
- 2015年的Deep learning for steganalysis via convolutional neural networks
- Pibre等提出了一 种新的基于适应于隐写分析的 CNN 的网络结构模型Deep Learning is a Good Steganalysis Tool when Embed- ding Key is Reused for Different Images, even if there is a Cover Source-Mismatch
- Structural Design of Convolutional Neural Networks for Steganalysis
- Learning and Transferring Representations for Image Steganalysis Using Convolutional Neural Network
- Learning Representations for Steganalysis from Regularized CNN Model with Auxiliary Tasks.
- Ensemble of CNNs for Steganalysis: an Empirical Stud
- Structural Design of Convolutional Neural Networks for Steganalysis
- Learning and Transferring Representations for Image Steganalysis Using Convolutional Neural Network
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