[1] |
PEVNY T , FRIDRICH J . Merging Markov and DCT features for multi-class JPEG steganalysis[C]// The International Society for Optical Engineering(SPIE). 2007.
|
[2] |
KODOVSKY J , FRIDRICH J . Calibration revisited[C]// The 11th ACM Multimedia and Security Workshop. 2009: 63-74.
|
[3] |
PEVNY T , BAS P , FRIDRICH J . Steganalysis by subtractive pixel adjacency matrix[J]. IEEE Transactions on Information Forensics&Security, 2010, 5 (2): 215-224.
|
[4] |
FRIDRICH J , KODOVSKY J . Rich models for steganalysis of digital images[J]. IEEE Transactions on Information Forensics&Security, 2012, 7 (3): 868-882.
|
[5] |
王舰, 汤光明 . 基于 SVM 的图像隐写检测分析[J]. 计算机研究与发展, 2009, 46 (z1).
|
|
WANG J , TANG G M . Image steganography detection analysis based on SVM[J]. Journal of Computer Research and Development, 2009, 46 (z1).
|
[6] |
胡东辉, 杨阳, 邵锋 , 等. 一种基于随机森林的JPEG图像通用隐写分析方法[C]// 全国信息隐藏暨多媒体信息安全学术大会(CIHW). 2012.
|
|
HU D H , YANG Y , SHAO F , et al. JPEG image steganographic analysis method based on random forest[C]// China Information Hiding And Multimedia Security Workshop(CIHW). 2012.
|
[7] |
KODOVSKY J , FRIDRICH J , HOLUB V . Ensemble classifiers for steganalysis of digital media[J]. IEEE Transactions on Information Forensics and Security, 7 (2): 432-444.
|
[8] |
KODOVSKY J , SEDIGHI V , FRIDRICH V . Study of cover source mismatch in steganalysis and ways to mitigate its impact[C]// The International Society for Optical Engineering(SPIE). 2014: 96-101.
|
[9] |
李肖峰 . JPEG图像失配隐密分析研究[D]. 大连: 大连理工大学, 2014.
|
|
LI X F . JPEG image mismatch secret analysis[D]. Dalian: Dalian University of Technology, 2014.
|
[10] |
LI X F , KONG X , WANG B , et al. Generalized transfer component analysis for mismatched JPEG steganalysis[C]// IEEE International Conference on Image Processing. 2013: 4432-4436.
|
[11] |
吕静 . 基于实例的迁移学习算法研究[D]. 太原: 山西财经大学, 2013.
|
|
LV J . The migration learning algorithm study based on case[D]. Taiyuan: Shanxi University of Finance and Economics, 2013.
|
[12] |
戴文渊 . 基于实例和特征的迁移学习算法研究[D]. 上海:上海交通大学, 2009.
|
|
DAI W Y . migration learning algorithm study based on case and characteristics[D]. Shanghai:Shanghai jiaotong University, 2009.
|