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cs.MM2019★ 5 cited
CALPA-NET: Channel-pruning-assisted Deep Residual Network for Steganalysis of Digital Images
Shunquan Tan, Weilong Wu, Zilong Shao +3
Over the past few years, detection performance improvements of deep-learning based steganalyzers have been usually achieved through structure expansion. However, excessive expanded…
cs.MM2019
CNN-based Steganalysis and Parametric Adversarial Embedding: a Game-Theoretic Framework
Xiaoyu Shi, Benedetta Tondi, Bin Li +1
CNN-based steganalysis has recently achieved very good performance in detecting content-adaptive steganography. At the same time, recent works have shown that, by adopting an appro…