Selected Publications
# Co-first author ✉ Corresponding author/Project leader
Conferences
- Efficient Fuzzy Private Set Intersection from Secret-shared OPRF
Xinpeng Yang, Meng Hao✉, Chenkai Weng, Robert H. Deng, Yonggang Wen, Tianwei Zhang
S&P 2026 - Cloud-Compatible and Scalable Private Messaging via Authentication Piggybacking
Jingwen Lu, Meng Hao✉, Yuan Zhang✉, Yaqing Song, Tianhao Yang
IWQoS 2026 - Practical Keyword Private Information Retrieval from Key-to-Index Mappings
Meng Hao, Weiran Liu, Liqiang Peng, Cong Zhang, Pengfei Wu, Lei Zhang, Hongwei Li, Robert H. Deng
USENIX Security, 2025 - Distributed Function Secret Sharing and Applications
Pengzhi Xing, Hongwei Li, Meng Hao✉, Hanxiao Chen, Jia Hu, Dongxiao Liu
Network and Distributed System Security Symposium (NDSS), 2025 - Scalable Zero-knowledge Proofs for Non-linear Functions in Machine Learning
Meng Hao#, Hanxiao Chen#, Hongwei Li, Chenkai Weng, Yuan Zhang, Haomiao Yang, Tianwei Zhang
USENIX Security, 2024 - Unbalanced Circuit-PSI from Oblivious Key-Value Retrieval
Meng Hao, Weiran Liu, Liqiang Peng, Hongwei Li, Cong Zhang, Hanxiao Chen, Tianwei Zhang
USENIX Security, 2024 - Unbalanced Private Set Union with Reduced Computation and Communication
Cong Zhang, Yu Chen, Weiran Liu, Liqiang Peng, Meng Hao, Anyu Wang, Xiaoyun Wang
ACM Conference on Computer and Communications Security (ACM CCS), 2024 - GuardHFL: Privacy Guardian for Heterogeneous Federated Learning
Hanxiao Chen, Meng Hao, Hongwei Li, Kangjie Chen, Guowen Xu, Tianwei Zhang, Xilin Zhang
International Conference on Machine Learning (ICML), 2023 - Private Inference on Transformers
Meng Hao, Hongwei Li, Hanxiao Chen, Pengzhi Xing, Guowen Xu, Tianwei Zhang
Neural Information Processing Systems (NeurIPS), 2022 - Efficient, Private and Robust Federated Learning
Meng Hao, Hongwei Li, Guowen Xu, Hanxiao Chen, Tianwei Zhang
Annual Computer Security Applications Conference (ACSAC), 2021
Journals
- Sanitizer: Blazing-fast, Private and Robust Federated Learning
Hanxiao Chen, Hongwei Li, Meng Hao✉, Jia Hu, Hao Ren, Haomiao Yang, Tianwei Zhang, Guowen Xu
IEEE Transactions on Information Forensics and Security, 2026 - T3AT: Threshold-Authorized, Threshold-Redeemable, and Non-Transferable Anonymous Tokens
Xincheng Li, Jian Shen, Jianting Ning, Meng Hao, Leo Yu Zhang
IEEE Transactions on Information Forensics and Security, 2026 - An Advanced Gradient Leakage Attack against Duplicate Labels via Model Outputs Reconstruction
Kunlan Xiang, Haomiao Yang, Meng Hao, Zikang Ding, Hongwei Li, Qingchuan Zhao, Tianwei Zhang
IEEE Transactions on Dependable and Secure Computing, 2026 - Conan: Secure and Reliable Machine Learning Inference against Malicious Service Providers
Hanxiao Chen, Hongwei Li, Meng Hao✉, Pengzhi Xing, Jia Hu, Wenbo Jiang, Tianwei Zhang, Guowen Xu
IEEE Transactions on Information Forensics and Security, 2025 - Charge Your Client: Payable Secure Computation and Its Applications
Cong Zhang, Liqiang Peng, Weiran Liu, Shuaishuai Li, Meng Hao✉, Lei Zhang, Dongdai Lin
IEEE Transactions on Information Forensics and Security, 2025 - HyperSiniel: Guaranteed Output Delivery Comes (Almost) Free in Private Delegation of zkSNARKs
Yunbo Yang, Yuejia Cheng, Junkai Liang, Kailun Wang, Xuanming Liu, Xiaoguo Li, Jianfei Sun, Jiachen Shen, Xiaolei Dong, Zhenfu Cao, Meng Hao, Guomin Yang, Kui Ren, Robert H. Deng
IEEE Transactions on Dependable and Secure Computing, 2025 - The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning
Kunlan Xiang, Haomiao Yang, Meng Hao, Shaofeng Li, Haoxin Wang, Zikang Ding, Wenbo Jiang, Tianwei Zhang
IEEE Transactions on Information Forensics and Security, 2025 - PrivTF: Efficient and Privacy-Preserving Transformer Inference with Optimized Protocols for Secure NLP
Ziwei Peng, Kaiping Xue, Bin Zhu, Yaxuan Huang, Jian Li, Meng Hao, Tianwei Zhang
IEEE Transactions on Network Science and Engineering, 2025 - SecBNN: Efficient Secure Inference on Binary Neural Networks
Hanxiao Chen, Hongwei Li, Meng Hao, Jia Hu, Guowen Xu, Xilin Zhang, Tianwei Zhang
IEEE Transactions on Information Forensics and Security, 2024 - Decentralized Multi-Client Functional Encryption for Inner Product with Applications to Federated Learning
Xinyuan Qian, Hongwei Li, Meng Hao, Guowen Xu, Haoyong Wang, Yuguang Fang
IEEE Transactions on Dependable and Secure Computing, 2024 - Stealthy Targeted Backdoor Attacks against Image Captioning
Wenshu Fan, Hongwei Li, Wenbo Jiang, Meng Hao, Shui Yu, Xiao Zhang
IEEE Transactions on Information Forensics and Security, 2024 - Efficient and Privacy-preserving Outsourcing of Gradient Boosting Decision Tree Inference
Shuai Yuan, Hongwei Li, Xinyuan Qian, Meng Hao, Yixiao Zhai, Guowen Xu
IEEE Transactions on Services Computing, 2024 - Vertical Federated Learning across Heterogeneous Regions for Industry 4.0
Rui Zhang, Hongwei Li, Meng Hao, Yuan Zhang
IEEE Transactions on Industrial Informatics, 2024 - FastSecNet: An Efficient Cryptographic Framework for Neural Network Inference
Meng Hao, Hongwei Li, Hanxiao Chen, Pengzhi Xing, and Tianwei Zhang
IEEE Transactions on Information Forensics and Security, 2023 - PriVDT: An Efficient Two-Party Cryptographic Framework for Vertical Decision Trees
Hanxiao Chen, Hongwei Li, Yingzhe Wang, Meng Hao, Guowen Xu, Tianwei Zhang
IEEE Transactions on Information Forensics and Security, 2022 - Practical Membership Inference Attack Against Collaborative Inference in Industrial IoT
Hanxiao Chen, Hongwei Li, Guishan Dong, Meng Hao, Guowen Xu, Haomiao Yang, Zhe Liu
IEEE Transactions on Industrial Informatics, 2022 - Efficient and Privacy-enhanced Federated Learning for Industrial Artificial Intelligence
Meng Hao, Hongwei Li, Xizhao Luo, Guowen Xu, Haomiao Yang, Sen Liu
IEEE Transactions on Industrial Informatics, 2020