Xiaoqiang Gui

Interaction Privacy Vulnerability in Federated Recommendation and Lossless Countermeasure

2025 · ACM Transactions on Information Systems

Federated Recommendation (FedRec) systems are recognized as privacy-preserving solutions for collaboratively training recommender models without sharing users’ private data. However, recent studies have revealed that FedRec systems are vulnerable to interaction-level membership inference attacks. In …