Chenfei Nie

According to our database, Chenfei Nie authored at least 4 papers in 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

EPIDL: Towards efficient and privacy-preserving inference in deep learning.

Chenfei Nie, Zhipeng Zhou, Mianxiong Dong, Kaoru Ota, Qiang Li

Concurr. Comput. Pract. Exp., June, 2024

Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning.

Chenfei Nie, Qiang Li, Yuxin Yang, Yuede Ji, Binghui Wang

CoRR, 2024

A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning.

Yuxin Yang, Qiang Li, Chenfei Nie, Yuan Hong, Meng Pang, Binghui Wang

CoRR, 2024

Breaking State-of-the-Art Poisoning Defenses to Federated Learning: An Optimization-Based Attack Framework.

Yuxin Yang, Qiang Li, Chenfei Nie, Yuan Hong, Binghui Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024