3 citations · 3 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.CR2021
HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing
Xiao Han, Yuncong Yang, Junjie Wu
Minimizing privacy leakage while ensuring data utility is a critical problem to data holders in a privacy-preserving data publishing task. Most prior research concerns only with on…
cs.LG2021★ 3 cited
Data Valuation for Vertical Federated Learning: A Model-free and Privacy-preserving Method
Xiao Han, Leye Wang, Junjie Wu +1
Vertical Federated learning (VFL) is a promising paradigm for predictive analytics, empowering an organization (i.e., task party) to enhance its predictive models through collabora…