A novel method for identifying the deep neural network model with the Serial Number. - Xiangrui Xu 001; Yaqin Li; Cao Yuan (CoRR, 2019)

"Identity Bracelets" for Deep Neural Networks. - Xiangrui Xu 001; Yaqin Li; Cao Yuan (IEEE Access, 2020)

Conditional image generation with One-Vs-All classifier. - Xiangrui Xu 001; Yaqin Li; Cao Yuan (Neurocomputing, 2021)

AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs. - Helene Orsini; Hongyan Bao; Yujun Zhou 002; Xiangrui Xu 001; Yufei Han 001; Longyang Yi; Wei Wang 012; Xin Gao 001; Xiangliang Zhang 001 (IEEE Big Data, 2022)

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)

Enhancing Security in Recommendation Systems with Blockchain Technology. - Xiong Liang; Yang Liu 171; Yingkai Liu; Cheng Chi; Zihang Yin; Xiangrui Xu 001 (ACM TUR-C, 2024)

Fed-AttGRU Privacy-preserving Federated Interest Recommendation. - Jun Wan; Cheng Chi; Haoyuan Yu; Yang Liu 171; Xiangrui Xu 001; Hongmei Lyu; Wei Wang 012 (ACM TUR-C, 2024)

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)

DMRP: Privacy-Preserving Deep Learning Model with Dynamic Masking and Random Permutation. - Chongzhen Zhang; Zhiwang Hu; Xiangrui Xu 001; Yong Liu; Bin Wang 062; Jian Shen 001; Tao Li 022; Yu Huang; Baigen Cai; Wei Wang 012 (J. Inf. Secur. Appl., 2025)

Finding the PISTE: Towards Understanding Privacy Leaks in Vertical Federated Learning Systems. - Xiangrui Xu 001; Wei Wang 012; Zheng Chen; Bin Wang 062; Chao Li 023; Li Duan; Zhen Han 001; Yufei Han 001 (IEEE Trans. Dependable Secur. Comput., 2025)

VFLMonitor: Defending One-Party Hijacking Attacks in Vertical Federated Learning. - Xiangrui Xu 001; Yiwen Zhao; Yufei Han 001; Yongsheng Zhu; Zhen Han 001; Guangquan Xu; Bin Wang 062; Shouling Ji; Wei Wang 012 (IEEE Trans. Inf. Forensics Secur., 2025)

FedEditor: Efficient and Effective Federated Unlearning in Cooperative Intelligent Transportation Systems. - Xiaohan Yuan; Jiqiang Liu; Bin Wang 051; Guorong Chen; Xiangrui Xu 001; Junyong Wang; Tao Li 022; Wei Wang 012 (IEEE Trans. Inf. Forensics Secur., 2025)

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)