RPFL: Robust and Privacy Federated Learning against Backdoor and Sample Inference Attacks. - Di Xiao 001; Zhuyang Yu; Lvjun Chen (ICPADS, 2023)

Secure and efficient federated learning via novel multi-party computation and compressed sensing. - Lvjun Chen; Di Xiao 001; Zhuyang Yu; Maolan Zhang (Inf. Sci., 2024)

Key-area cyberspace mimic defense against data-oriented attacks. - Ping Chen; Jin Wei; Zhuyang Yu; Jiwei Chen (Secur. Saf., 2025)