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20212026
most citedGenerative Steganography Network

67 citations · 142 across the 35 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 2 cited

Exploring Depth Information for Face Manipulation Detection

Haoyue Wang, Meiling Li, Sheng Li +2

Face manipulation detection has been receiving a lot of attention for the reliability and security of the face images. Recent studies focus on using auxiliary information or prior…

eess.IV2022

Learning to Immunize Images for Tamper Localization and Self-Recovery

Qichao Ying, Hang Zhou, Zhenxing Qian +2

Digital images are vulnerable to nefarious tampering attacks such as content addition or removal that severely alter the original meaning. It is somehow like a person without prote…

cs.CV2022★ 67 cited

Generative Steganography Network

Ping Wei, Sheng Li, Xinpeng Zhang +3

Steganography usually modifies cover media to embed secret data. A new steganographic approach called generative steganography (GS) has emerged recently, in which stego images (ima…

cs.CV2022★ 3 cited

Image Generation Network for Covert Transmission in Online Social Network

Zhengxin You, Qichao Ying, Sheng Li +2

Online social networks have stimulated communications over the Internet more than ever, making it possible for secret message transmission over such noisy channels. In this paper,…

eess.IV2022

Image Protection for Robust Cropping Localization and Recovery

Qichao Ying, Hang Zhou, Xiaoxiao Hu +3

Existing image cropping detection schemes ignore that recovering the cropped-out contents can unveil the purpose of the behaved cropping attack. This paper presents \textbf{CLR}-Ne…

cs.CV2022★ 6 cited

Multimodal Fake News Detection via CLIP-Guided Learning

Yangming Zhou, Qichao Ying, Zhenxing Qian +2

Multimodal fake news detection has attracted many research interests in social forensics. Many existing approaches introduce tailored attention mechanisms to guide the fusion of un…