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cs.CV2018
Deep Steganalysis: End-to-End Learning with Supervisory Information beyond Class Labels
Wei Wang, Jing Dong, Yinlong Qian +1
Recently, deep learning has shown its power in steganalysis. However, the proposed deep models have been often learned from pre-calculated noise residuals with fixed high-pass filt…
cs.CV2017
SSGAN: Secure Steganography Based on Generative Adversarial Networks
Haichao Shi, Jing Dong, Wei Wang +2
In this paper, a novel strategy of Secure Steganograpy based on Generative Adversarial Networks is proposed to generate suitable and secure covers for steganography. The proposed a…