Achieving Privacy-preserving Federated Learning with Irrelevant Updates over E-Health Applications. - Hanxiao Chen 001; Hongwei Li 001; Guowen Xu; Yun Zhang; Xizhao Luo (ICC, 2020)

Efficient, Private and Robust Federated Learning. - Meng Hao 001; Hongwei Li 001; Guowen Xu; Hanxiao Chen 001; Tianwei Zhang 004 (ACSAC, 2021)

Stand-in Backdoor: A Stealthy and Powerful Backdoor Attack. - Shuang Li; Hongwei Li 001; Hanxiao Chen 001 (GLOBECOM, 2021)

Secure Feature Selection for Vertical Federated Learning in eHealth Systems. - Rui Zhang 086; Hongwei Li 001; Meng Hao 001; Hanxiao Chen 001; Yuan Zhang 006 (ICC, 2022)

Iron: Private Inference on Transformers. - Meng Hao 001; Hongwei Li 001; Hanxiao Chen 001; Pengzhi Xing; Guowen Xu; Tianwei Zhang 004 (NeurIPS, 2022)

Practical Membership Inference Attack Against Collaborative Inference in Industrial IoT. - Hanxiao Chen 001; Hongwei Li 001; Guishan Dong; Meng Hao 001; Guowen Xu; Xiaoming Huang; Zhe Liu 001 (IEEE Trans. Ind. Informatics, 2022)

Practical and Privacy-Preserving Density-Based Clustering via Shuffling. - Yingzhe Wang; Hongwei Li 001; Hanxiao Chen 001; Xilin Zhang; Meng Hao 001 (GLOBECOM, 2023)

Privacy-Preserving Feature Selection based on Mutual Information. - Ningning Wu; Hongwei Li 001; Hanxiao Chen 001; Xilin Zhang; Yingzhe Wang (GLOBECOM, 2023)

SecMath: An Efficient 2-Party Cryptographic Framework for Math Functions. - Jia Hu 004; Hongwei Li 001; Hanxiao Chen 001; Meng Hao 001; Xilin Zhang (ICC, 2023)

TriFSS: Secure Trigonometric Function Evaluation via Function Secret Sharing. - Pengzhi Xing; Hongwei Li 001; Meng Hao 001; Hanxiao Chen 001; Shengke Zeng (ICC, 2023)

GuardHFL: Privacy Guardian for Heterogeneous Federated Learning. - Hanxiao Chen 001; Meng Hao 001; Hongwei Li 001; Kangjie Chen; Guowen Xu; Tianwei Zhang 004; Xilin Zhang (ICML, 2023)

Unbalanced Circuit-PSI from Oblivious Key-Value Retrieval. - Meng Hao 001; Weiran Liu; Liqiang Peng; Hongwei Li 001; Cong Zhang; Hanxiao Chen 001; Tianwei Zhang 004 (IACR Cryptol. ePrint Arch., 2023)

PriVDT: An Efficient Two-Party Cryptographic Framework for Vertical Decision Trees. - Hanxiao Chen 001; Hongwei Li 001; Yingzhe Wang; Meng Hao 001; Guowen Xu; Tianwei Zhang 004 (IEEE Trans. Inf. Forensics Secur., 2023)

FastSecNet: An Efficient Cryptographic Framework for Private Neural Network Inference. - Meng Hao 001; Hongwei Li 001; Hanxiao Chen 001; Pengzhi Xing; Tianwei Zhang 004 (IEEE Trans. Inf. Forensics Secur., 2023)

Benchmark GELU in Secure Multi-Party Computation. - Rui Zhang 090; Hongwei Li 001; Meng Hao 001; Hanxiao Chen 001; Dongxiao Liu; Yuan Zhang 006; Dianhua Tang (GLOBECOM, 2024)

Combinational Backdoor Attack against Customized Text-to-Image Models. - Wenbo Jiang 001; Jiaming He; Hongwei Li 001; Guowen Xu; Rui Zhang 086; Hanxiao Chen 001; Meng Hao 001; Haomiao Yang (CoRR, 2024)

SecBNN: Efficient Secure Inference on Binary Neural Networks. - Hanxiao Chen 001; Hongwei Li 001; Meng Hao 001; Jia Hu 004; Guowen Xu; Xilin Zhang; Tianwei Zhang 004 (IEEE Trans. Inf. Forensics Secur., 2024)

Distributed Function Secret Sharing and Applications. - Pengzhi Xing; Hongwei Li 001; Meng Hao 001; Hanxiao Chen 001; Jia Hu 004; Dongxiao Liu (NDSS, 2025)

Scalable Zero-knowledge Proofs for Non-linear Functions in Machine Learning. - Meng Hao 001; Hanxiao Chen 001; Hongwei Li 001; Chenkai Weng; Yuan Zhang 006; Haomiao Yang; Tianwei Zhang 004 (IACR Cryptol. ePrint Arch., 2025)

DivTrackee versus DynTracker: Promoting Diversity in Anti-Facial Recognition against Dynamic FR Strategy. - Wenshu Fan; Minxing Zhang; Hongwei Li 001; Wenbo Jiang 001; Hanxiao Chen 001; Xiangyu Yue 001; Michael Backes 001; Xiao Zhang 016 (CoRR, 2025)

The Ripple Effect: On Unforeseen Complications of Backdoor Attacks. - Rui Zhang 086; Yun Shen; Hongwei Li 001; Wenbo Jiang 001; Hanxiao Chen 001; Yuan Zhang 006; Guowen Xu; Yang Zhang 016 (CoRR, 2025)

GuardGrid: A Queriable and Privacy-Preserving Aggregation Scheme for Smart Grid via Function Encryption. - Pengfei Yu; Weicong Huang; Ran Zhang; Xinyuan Qian 002; Hongwei Li 001; Hanxiao Chen 001 (IEEE Internet Things J., 2025)