24 citations · 28 across the 5 of their papers we have counts for
6 papers
Make Identity Unextractable yet Perceptible: Synthesis-Based Privacy Protection for Subject Faces in Photos
Tao Wang, Yushu Zhang, Xiangli Xiao +4
Deep learning-based face recognition (FR) technology exacerbates privacy concerns in photo sharing. In response, the research community developed a suite of anti-FR methods to bloc…
Detecting Malicious Concepts without Image Generation in AI-Generated Content (AIGC)
Kun Xu, Wenying Wen, Shuren Qi +3
The task of text-to-image generation has achieved tremendous success in practice, with emerging concept generation models capable of producing highly personalized and customized co…
Image Privacy Protection: A Survey
Wenying Wen, Ziye Yuan, Yushu Zhang +4
Images serve as a crucial medium for communication, presenting information in a visually engaging format that facilitates rapid comprehension of key points. Meanwhile, during trans…
Visual Content Privacy Protection: A Survey
Ruoyu Zhao, Yushu Zhang, Tao Wang +3
Vision is the most important sense for people, and it is also one of the main ways of cognition. As a result, people tend to utilize visual content to capture and share their life…
A multi-level approach with visual information for encrypted H.265/HEVC videos
Wenying Wen, Rongxin Tu, Yushu Zhang +2
High-efficiency video coding (HEVC) encryption has been proposed to encrypt syntax elements for the purpose of video encryption. To achieve high video security, to the best of our…
Robust Coding of Encrypted Images via Structural Matrix
Yushu Zhang, Kwok-Wo Wong, Leo Yu Zhang +1
The robust coding of natural images and the effective compression of encrypted images have been studied individually in recent years. However, little work has been done in the robu…