2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2024
Machine Unlearning in Contrastive Learning
Zixin Wang, Kongyang Chen
Machine unlearning is a complex process that necessitates the model to diminish the influence of the training data while keeping the loss of accuracy to a minimum. Despite the nume…
cs.CR2024★ 2 cited
Machine Unlearning in Large Language Models
Kongyang Chen, Zixin Wang, Bing Mi +4
Recently, large language models (LLMs) have emerged as a notable field, attracting significant attention for its ability to automatically generate intelligent contents for various…
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…