Breaking State-of-the-Art Poisoning Defenses to Federated Learning: An Optimization-Based Attack Framework. - Yuxin Yang 003; Qiang Li 008; Chenfei Nie; Yuan Hong 001; Binghui Wang (CIKM, 2024)

A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning. - Yuxin Yang 003; Qiang Li 008; Chenfei Nie; Yuan Hong 001; Meng Pang; Binghui Wang (CoRR, 2024)

Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning. - Chenfei Nie; Qiang Li 008; Yuxin Yang 003; Yuede Ji; Binghui Wang (CoRR, 2024)

EPIDL: Towards efficient and privacy-preserving inference in deep learning. - Chenfei Nie; Zhipeng Zhou; Mianxiong Dong; Kaoru Ota; Qiang Li 008 (Concurr. Comput. Pract. Exp., 2024)