Threats, attacks and defenses to federated learning: issues, taxonomy and perspectives. - Pengrui Liu; Xiangrui Xu 001; Wei Wang 012 (Cybersecur., 2022)

CGIR: Conditional Generative Instance Reconstruction Attacks Against Federated Learning. - Xiangrui Xu 001; Pengrui Liu; Wei Wang 012; Hongliang Ma; Bin Wang 062; Zhen Han 001; Yufei Han 001 (IEEE Trans. Dependable Secur. Comput., 2023)

Assessing Membership Leakages via Task-Aligned Divergent Shadow Data Sets in Vehicular Road Cooperation. - Pengrui Liu; Wei Wang 012; Xiangrui Xu 001; Hanxi Li; Weiping Ding 001 (IEEE Internet Things J., 2024)

Enhancing Privacy in Distributed Intelligent Vehicles With Information Bottleneck Theory. - Xiangrui Xu 001; Pengrui Liu; Yiwen Zhao; Lei Han; Wei Wang 012; Yongsheng Zhu; Chongzhen Zhang; Bin Wang 062; Jian Shen 001; Zhen Han 001 (IEEE Internet Things J., 2025)

Two-in-One Solution: Simultaneously Enhancing Security and Privacy for Data-Driven Models in Mobile Edge Computing. - Pengrui Liu; Xiaohan Yuan; Wei Wang 012; Xiangrui Xu 001; Tao Li 022; Junyong Wang; Bin Wang 062; Witold Pedrycz (IEEE Trans. Consumer Electron., 2025)