1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CR2026
Adaptive Diffusion Freezing: Privacy-preserving Diffusion Models Against Membership Inference Attacks
Jialu Guo, Xiao Han, Junjie Wu
Diffusion models have achieved remarkable success in generative tasks across various areas, however their training process raises significant privacy concerns, particularly under m…
cs.CR2025★ 1 cited
Learning-based Privacy-Preserving Graph Publishing Against Sensitive Link Inference Attacks
Yucheng Wu, Yuncong Yang, Xiao Han +2
Publishing graph data is widely desired to enable a variety of structural analyses and downstream tasks. However, it also potentially poses severe privacy leakage, as attackers may…
cs.LG2024★ 1 cited
From Machine Learning to Machine Unlearning: Complying with GDPR's Right to be Forgotten while Maintaining Business Value of Predictive Models
Yuncong Yang, Xiao Han, Yidong Chai +3
Recent privacy regulations (e.g., GDPR) grant data subjects the `Right to Be Forgotten' (RTBF) and mandate companies to fulfill data erasure requests from data subjects. However, c…