2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CR2025
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…
cs.CV2023★ 2 cited
PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow
Lin Yuan, Kai Liang, Xiao Pu +5
This paper proposes a novel paradigm for facial privacy protection that unifies multiple characteristics including anonymity, diversity, reversibility and security within a single…