Towards Efficient and Privacy-Preserving Federated Deep Learning. - Meng Hao 001; Hongwei Li 001; Guowen Xu; Sen Liu 007; Haomiao Yang (ICC, 2019)

Privacy-aware and Resource-saving Collaborative Learning for Healthcare in Cloud Computing. - Meng Hao 001; Hongwei Li 001; Guowen Xu; Zhe Liu 001; Zongqi Chen (ICC, 2020)

Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence. - Meng Hao 001; Hongwei Li 001; Xizhao Luo; Guowen Xu; Haomiao Yang; Sen Liu 007 (IEEE Trans. Ind. Informatics, 2020)

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

Towards Lightweight and Efficient Distributed Intrusion Detection Framework. - Shuai Yuan 009; Hongwei Li 001; Rui Zhang 086; Meng Hao 001; Yiran Li; Rongxing Lu (GLOBECOM, 2021)

Enhanced Mixup Training: a Defense Method Against Membership Inference Attack. - Zongqi Chen; Hongwei Li 001; Meng Hao 001; Guowen Xu (ISPEC, 2021)

Fast Secure Aggregation for Privacy-Preserving Federated Learning. - Yanjun Liu 010; Xinyuan Qian 002; Hongwei Li 001; Meng Hao 001; Song Guo 001 (GLOBECOM, 2022)

CryptoFE: Practical and Privacy-Preserving Federated Learning via Functional Encryption. - Xinyuan Qian 002; Hongwei Li 001; Meng Hao 001; Shuai Yuan 009; Xilin Zhang; Song Guo 001 (GLOBECOM, 2022)

Efficient and Privacy-Preserving Federated Learning with Irregular Users. - Jieyu Xu; Hongwei Li 001; Jia Zeng; Meng Hao 001 (ICC, 2022)

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)

Privacy-Preserving and Verifiable Outsourcing Inference Against Malicious Servers. - Yiyao Liu; Hongwei Li 001; Meng Hao 001; Xilin Zhang; Guiqiang Hu (GLOBECOM, 2023)

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

Membership Inference Attacks Against the Graph Classification. - Junze Yang; Hongwei Li 001; Wenshu Fan; Xilin Zhang; Meng Hao 001 (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)

Toward Efficient and End-to-End Privacy-Preserving Distributed Gradient Boosting Decision Trees. - Shuai Yuan 009; Hongwei Li 001; Xinyuan Qian 002; Meng Hao 001; Yixiao Zhai; Xiaolong Cui (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)

Extracting Cloud-based Model with Prior Knowledge. - Shiqian Zhao; Kangjie Chen; Meng Hao 001; Jian Zhang 001; Guowen Xu; Hongwei Li 001; Tianwei Zhang 004 (CoRR, 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)

ESA-FedGNN: Efficient secure aggregation for federated graph neural networks. - Yanjun Liu 010; Hongwei Li 001; Xinyuan Qian 002; Meng Hao 001 (Peer Peer Netw. Appl., 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)

Unbalanced Private Set Union with Reduced Computation and Communication. - Cong Zhang; Yu Chen 003; Weiran Liu; Liqiang Peng; Meng Hao 001; Anyu Wang 001; Xiaoyun Wang 001 (IACR Cryptol. ePrint Arch., 2024)

Decentralized Multi-Client Functional Encryption for Inner Product With Applications to Federated Learning. - Xinyuan Qian 002; Hongwei Li 001; Meng Hao 001; Guowen Xu; Haoyong Wang; Yuguang Fang (IEEE Trans. Dependable Secur. Comput., 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)

Stealthy Targeted Backdoor Attacks Against Image Captioning. - Wenshu Fan; Hongwei Li 001; Wenbo Jiang 001; Meng Hao 001; Shui Yu 001; Xiao Zhang 016 (IEEE Trans. Inf. Forensics Secur., 2024)

Efficient and Privacy-Preserving Outsourcing of Gradient Boosting Decision Tree Inference. - Shuai Yuan 009; Hongwei Li 001; Xinyuan Qian 002; Meng Hao 001; Yixiao Zhai; Guowen Xu (IEEE Trans. Serv. Comput., 2024)

SVFGNN: A privacy-preserving vertical federated graph neural network model training framework based on split learning. - Yanjun Liu 010; Hongwei Li 001; Meng Hao 001 (Peer Peer Netw. Appl., 2024)

Vertical Federated Learning Across Heterogeneous Regions for Industry 4.0. - Rui Zhang 086; Hongwei Li 001; Luoding Tian; Meng Hao 001; Yuan Zhang 006 (IEEE Trans. Ind. Informatics, 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)

Practical Keyword Private Information Retrieval from Key-to-Index Mappings. - Meng Hao 001; Weiran Liu; Liqiang Peng; Cong Zhang; Pengfei Wu 003; Lei Zhang; Hongwei Li 001; Robert H. Deng (IACR Cryptol. ePrint Arch., 2025)

Charge Your Clients: Payable Secure Computation and Its Applications. - Cong Zhang; Liqiang Peng; Weiran Liu; Shuaishuai Li; Meng Hao 001; Lei Zhang; Dongdai Lin (IEEE Trans. Inf. Forensics Secur., 2025)

The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning. - Kunlan Xiang; Haomiao Yang; Meng Hao 001; Haoxin Wang; Shaofeng Li 001; Zikang Ding; Tianwei Zhang 004 (CoRR, 2025)

BadTime: An Effective Backdoor Attack on Multivariate Long-Term Time Series Forecasting. - Kunlan Xiang; Haomiao Yang; Meng Hao 001; Haoxin Wang; Shaofeng Li 001; Wenbo Jiang 001 (CoRR, 2025)