Learning and transferring representations for image steganalysis using convolutional neural network

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	Learning and transferring representations for image steganalysis using convolutional neural network
	Qian, Yinlong; Dong, Jing; Wang, Wei; Tan, Tieniu
	2016
会议名称	IEEE International Conference on Image Processing
会议录名称	Proceedings of 2016 IEEE International Conference on Image Processing
会议日期	September 25–28, 2016
会议地点	Phoenix, Arizona, USA
摘要	The major challenge of machine learning based image steganalysis lies in obtaining powerful feature representations. Recently, Qian et al. have shown that Convolutional Neural Network (CNN) is effective for learning features automatically for steganalysis. In this paper, we follow up this new paradigm in steganalysis, and propose a framework based on transfer learning to help the training of CNN for steganalysis, hence to achieve a better performance. We show that feature representations learned with a pre-trained CNN for detecting a steganographic algorithm with a high payload can be efficiently transferred to improve the learning of features for detecting the same steganographic algorithm with a low pay-load. By detecting representative WOW and S-UNIWARD steganographic algorithms, we demonstrate that the proposed scheme is effective in improving the feature learning in CNN models for steganalysis.
关键词	Convolutional Neural Network Steganalysis Deep Learning Transfer Learning
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12306
专题	智能感知与计算研究中心
通讯作者	Dong, Jing
推荐引用方式 GB/T 7714	Qian, Yinlong,Dong, Jing,Wang, Wei,et al. Learning and transferring representations for image steganalysis using convolutional neural network[C],2016.

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