290 citations · 1k across the 14 of their papers we have counts for
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cs.MM2018★ 255 cited
Identification of Deep Network Generated Images Using Disparities in Color Components
Haodong Li, Bin Li, Shunquan Tan +1
With the powerful deep network architectures, such as generative adversarial networks, one can easily generate photorealistic images. Although the generated images are not dedicate…
cs.MM2018★ 290 cited
CNN Based Adversarial Embedding with Minimum Alteration for Image Steganography
Weixuan Tang, Bin Li, Shunquan Tan +2
Historically, steganographic schemes were designed in a way to preserve image statistics or steganalytic features. Since most of the state-of-the-art steganalytic methods employ a…
cs.MM2018★ 86 cited
WISERNet: Wider Separate-then-reunion Network for Steganalysis of Color Images
Jishen Zeng, Shunquan Tan, Guangqing Liu +2
Until recently, deep steganalyzers in spatial domain have been all designed for gray-scale images. In this paper, we propose WISERNet (the wider separate-then-reunion network) for…