Detector-Informed Batch Steganography and Pooled Steganalysis

PROCEEDINGS OF THE 2022 ACM WORKSHOP ON INFORMATION HIDING AND MULTIMEDIA SECURITY, IH-MMSEC 2022(2022)

引用 3|浏览26
暂无评分
摘要
We study the problem of batch steganography when the senders use feedback from a steganography detector. This brings an additional level of complexity to the table due to the highly non-linear and non-Gaussian response of modern steganalysis detectors as well as the necessity to study the impact of the inevitable mismatch between senders' and Warden's detectors. Two payload spreaders are considered based on the oracle generating possible cover images. Three di.erent pooling strategies are devised and studied for a more comprehensive assessment of security. Substantial security gains are observed with respect to previous art - the detector-agnostic image-merging sender. Close attention is paid to the impact of the information available to the Warden on security.
更多
查看译文
关键词
Batch steganography,pooled steganalysis,deep learning,digital image
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要