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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…