1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CR2026
Label Leakage Attacks in Machine Unlearning: A Parameter and Inversion-Based Approach
Weidong Zheng, Kongyang Chen, Yao Huang +2
With the widespread application of artificial intelligence technologies in face recognition and other fields, data privacy security issues have received extensive attention, especi…
cs.CR2024
Membership Information Leakage in Federated Contrastive Learning
Kongyang Chen, Wenfeng Wang, Zixin Wang +3
Federated Contrastive Learning (FCL) represents a burgeoning approach for learning from decentralized unlabeled data while upholding data privacy. In FCL, participant clients colla…
cs.CR2023★ 1 cited
BAGEL: Backdoor Attacks against Federated Contrastive Learning
Yao Huang, Kongyang Chen, Jiannong Cao +5
Federated Contrastive Learning (FCL) is an emerging privacy-preserving paradigm in distributed learning for unlabeled data. In FCL, distributed parties collaboratively learn a glob…