CASIA OpenIR  > 智能感知与计算研究中心
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.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
07532860.pdf(130KB)会议论文 开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Qian, Yinlong]的文章
[Dong, Jing]的文章
[Wang, Wei]的文章
百度学术
百度学术中相似的文章
[Qian, Yinlong]的文章
[Dong, Jing]的文章
[Wang, Wei]的文章
必应学术
必应学术中相似的文章
[Qian, Yinlong]的文章
[Dong, Jing]的文章
[Wang, Wei]的文章
相关权益政策
暂无数据
收藏/分享
文件名: 07532860.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。