Meng Hao

53 papers A* 7A 1B 7C 1Journal 29Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Conan: Secure and Reliable Machine Learning Inference Against Malicious Service Providers.
IEEE Trans. Inf. Forensics Secur.
Hanxiao Chen, Hongwei Li, Meng Hao, Pengzhi Xing, Jia Hu, Wenbo Jiang, Tianwei Zhang, Guowen Xu
2026 J jnl
Delayed Backdoor Attacks: Exploring the Temporal Dimension as a New Attack Surface in Pre-Trained Models.
CoRR
Zikang Ding, Haomiao Yang, Meng Hao, Wenbo Jiang, Kunlan Xiang, Runmeng Du, Yijing Liu, Ruichen Zhang, Dusit Niyato
2026 J jnl
HyperSiniel: Guaranteed Output Delivery Comes (Almost) Free in Private Delegation of zkSNARKs.
IEEE Trans. Dependable Secur. Comput.
Yunbo Yang, Yuejia Cheng, Junkai Liang, Kailun Wang, Xuanming Liu, Xiaoguo Li, Jianfei Sun, Jiachen Shen, Xiaolei Dong, Zhenfu Cao, Meng Hao, Guomin Yang, Robert H. Deng, Kui Ren
2026 J jnl
Online-Friendly Robust Threshold ECDSA with Constant Amortized Communication.
IACR Cryptol. ePrint Arch.
Guofeng Tang, Tian Qiu, Bowen Jiang, Haiyang Xue, Meng Hao, Guomin Yang, Robert H. Deng
2026 J jnl
PrivTF: Efficient and Privacy-Preserving Transformer Inference With Optimized Protocols for Secure NLP.
IEEE Trans. Netw. Sci. Eng.
Ziwei Peng, Kaiping Xue, Bin Zhu, Yaxuan Huang, Jian Li, Meng Hao, Tianwei Zhang
2026 J jnl
Scalable Honest-majority MPC for Machine Learning from Mixed Secret Sharings.
IACR Cryptol. ePrint Arch.
Meilin Li, Meng Hao, Yu Chen
2025 J jnl
BadTime: An Effective Backdoor Attack on Multivariate Long-Term Time Series Forecasting.
CoRR
Kunlan Xiang, Haomiao Yang, Meng Hao, Haoxin Wang, Shaofeng Li, Wenbo Jiang
2025 J jnl
Charge Your Clients: Payable Secure Computation and Its Applications.
IACR Cryptol. ePrint Arch.
Cong Zhang, Liqiang Peng, Weiran Liu, Shuaishuai Li, Meng Hao, Lei Zhang, Dongdai Lin
2025 J jnl
Charge Your Clients: Payable Secure Computation and Its Applications.
IEEE Trans. Inf. Forensics Secur.
Cong Zhang, Liqiang Peng, Weiran Liu, Shuaishuai Li, Meng Hao, Lei Zhang, Dongdai Lin
2025 A* conf
Distributed Function Secret Sharing and Applications.
NDSS
Pengzhi Xing, Hongwei Li, Meng Hao, Hanxiao Chen, Jia Hu, Dongxiao Liu
2025 A* conf
Practical Keyword Private Information Retrieval from Key-to-Index Mappings.
USENIX Security Symposium
Meng Hao, Weiran Liu, Liqiang Peng, Cong Zhang, Pengfei Wu, Lei Zhang, Hongwei Li, Robert H. Deng
2025 J jnl
Practical Keyword Private Information Retrieval from Key-to-Index Mappings.
IACR Cryptol. ePrint Arch.
Meng Hao, Weiran Liu, Liqiang Peng, Cong Zhang, Pengfei Wu, Lei Zhang, Hongwei Li, Robert H. Deng
2025 J jnl
Scalable Zero-knowledge Proofs for Non-linear Functions in Machine Learning.
IACR Cryptol. ePrint Arch.
Meng Hao, Hanxiao Chen, Hongwei Li, Chenkai Weng, Yuan Zhang, Haomiao Yang, Tianwei Zhang
2025 — conf
SecInfer: Secure and Efficient Model Inference on Vertically Partitioned Data.
ICC
Robert H. Deng, Hongwei Li, Hanxiao Chen, Meng Hao, Pengzhi Xing, Jia Hu, Rui Zhang, Wenbo Jiang
2025 J jnl
The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks Through Model Poisoning.
IEEE Trans. Inf. Forensics Secur.
Kunlan Xiang, Haomiao Yang, Meng Hao, Shaofeng Li, Haoxin Wang, Zikang Ding, Wenbo Jiang, Tianwei Zhang
2025 J jnl
The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning.
CoRR
Kunlan Xiang, Haomiao Yang, Meng Hao, Haoxin Wang, Shaofeng Li, Zikang Ding, Tianwei Zhang
2024 B conf
Benchmark GELU in Secure Multi-Party Computation.
GLOBECOM
Rui Zhang, Hongwei Li, Meng Hao, Hanxiao Chen, Dongxiao Liu, Yuan Zhang, Dianhua Tang
2024 J jnl
Combinational Backdoor Attack against Customized Text-to-Image Models.
CoRR
Wenbo Jiang, Jiaming He, Hongwei Li, Guowen Xu, Rui Zhang, Hanxiao Chen, Meng Hao, Haomiao Yang
2024 J jnl
Decentralized Multi-Client Functional Encryption for Inner Product With Applications to Federated Learning.
IEEE Trans. Dependable Secur. Comput.
Xinyuan Qian, Hongwei Li, Meng Hao, Guowen Xu, Haoyong Wang, Yuguang Fang
2024 J jnl
Efficient and Privacy-Preserving Outsourcing of Gradient Boosting Decision Tree Inference.
IEEE Trans. Serv. Comput.
Shuai Yuan, Hongwei Li, Xinyuan Qian, Meng Hao, Yixiao Zhai, Guowen Xu
2024 J jnl
SVFGNN: A privacy-preserving vertical federated graph neural network model training framework based on split learning.
Peer Peer Netw. Appl.
Yanjun Liu, Hongwei Li, Meng Hao
2024 A* conf
Scalable Zero-knowledge Proofs for Non-linear Functions in Machine Learning.
USENIX Security Symposium
Meng Hao, Hanxiao Chen, Hongwei Li, Chenkai Weng, Yuan Zhang, Haomiao Yang, Tianwei Zhang
2024 J jnl
SecBNN: Efficient Secure Inference on Binary Neural Networks.
IEEE Trans. Inf. Forensics Secur.
Hanxiao Chen, Hongwei Li, Meng Hao, Jia Hu, Guowen Xu, Xilin Zhang, Tianwei Zhang
2024 J jnl
Stealthy Targeted Backdoor Attacks Against Image Captioning.
IEEE Trans. Inf. Forensics Secur.
Wenshu Fan, Hongwei Li, Wenbo Jiang, Meng Hao, Shui Yu, Xiao Zhang
2024 J jnl
Stealthy Targeted Backdoor Attacks against Image Captioning.
CoRR
Wenshu Fan, Hongwei Li, Wenbo Jiang, Meng Hao, Shui Yu, Xiao Zhang
2024 A* conf
Unbalanced Circuit-PSI from Oblivious Key-Value Retrieval.
USENIX Security Symposium
Meng Hao, Weiran Liu, Liqiang Peng, Hongwei Li, Cong Zhang, Hanxiao Chen, Tianwei Zhang
2024 A* conf
Unbalanced Private Set Union with Reduced Computation and Communication.
CCS
Cong Zhang, Yu Chen, Weiran Liu, Liqiang Peng, Meng Hao, Anyu Wang, Xiaoyun Wang
2024 J jnl
Unbalanced Private Set Union with Reduced Computation and Communication.
IACR Cryptol. ePrint Arch.
Cong Zhang, Yu Chen, Weiran Liu, Liqiang Peng, Meng Hao, Anyu Wang, Xiaoyun Wang
2024 J jnl
Vertical Federated Learning Across Heterogeneous Regions for Industry 4.0.
IEEE Trans. Ind. Informatics
Rui Zhang, Hongwei Li, Luoding Tian, Meng Hao, Yuan Zhang
2023 J jnl
ESA-FedGNN: Efficient secure aggregation for federated graph neural networks.
Peer Peer Netw. Appl.
Yanjun Liu, Hongwei Li, Xinyuan Qian, Meng Hao
2023 J jnl
Extracting Cloud-based Model with Prior Knowledge.
CoRR
Shiqian Zhao, Kangjie Chen, Meng Hao, Jian Zhang, Guowen Xu, Hongwei Li, Tianwei Zhang
2023 J jnl
FastSecNet: An Efficient Cryptographic Framework for Private Neural Network Inference.
IEEE Trans. Inf. Forensics Secur.
Meng Hao, Hongwei Li, Hanxiao Chen, Pengzhi Xing, Tianwei Zhang
2023 A* conf
GuardHFL: Privacy Guardian for Heterogeneous Federated Learning.
ICML
Hanxiao Chen, Meng Hao, Hongwei Li, Kangjie Chen, Guowen Xu, Tianwei Zhang, Xilin Zhang
2023 B conf
Membership Inference Attacks Against the Graph Classification.
GLOBECOM
Junze Yang, Hongwei Li, Wenshu Fan, Xilin Zhang, Meng Hao
2023 B conf
Practical and Privacy-Preserving Density-Based Clustering via Shuffling.
GLOBECOM
Yingzhe Wang, Hongwei Li, Hanxiao Chen, Xilin Zhang, Meng Hao
2023 J jnl
PriVDT: An Efficient Two-Party Cryptographic Framework for Vertical Decision Trees.
IEEE Trans. Inf. Forensics Secur.
Hanxiao Chen, Hongwei Li, Yingzhe Wang, Meng Hao, Guowen Xu, Tianwei Zhang
2023 B conf
Privacy-Preserving and Verifiable Outsourcing Inference Against Malicious Servers.
GLOBECOM
Yiyao Liu, Hongwei Li, Meng Hao, Xilin Zhang, Guiqiang Hu
2023 — conf
SecMath: An Efficient 2-Party Cryptographic Framework for Math Functions.
ICC
Jia Hu, Hongwei Li, Hanxiao Chen, Meng Hao, Xilin Zhang
2023 — conf
Toward Efficient and End-to-End Privacy-Preserving Distributed Gradient Boosting Decision Trees.
ICC
Shuai Yuan, Hongwei Li, Xinyuan Qian, Meng Hao, Yixiao Zhai, Xiaolong Cui
2023 — conf
TriFSS: Secure Trigonometric Function Evaluation via Function Secret Sharing.
ICC
Pengzhi Xing, Hongwei Li, Meng Hao, Hanxiao Chen, Shengke Zeng
2023 J jnl
Unbalanced Circuit-PSI from Oblivious Key-Value Retrieval.
IACR Cryptol. ePrint Arch.
Meng Hao, Weiran Liu, Liqiang Peng, Hongwei Li, Cong Zhang, Hanxiao Chen, Tianwei Zhang
2022 B conf
CryptoFE: Practical and Privacy-Preserving Federated Learning via Functional Encryption.
GLOBECOM
Xinyuan Qian, Hongwei Li, Meng Hao, Shuai Yuan, Xilin Zhang, Song Guo
2022 — conf
Efficient and Privacy-Preserving Federated Learning with Irregular Users.
ICC
Jieyu Xu, Hongwei Li, Jia Zeng, Meng Hao
2022 B conf
Fast Secure Aggregation for Privacy-Preserving Federated Learning.
GLOBECOM
Yanjun Liu, Xinyuan Qian, Hongwei Li, Meng Hao, Song Guo
2022 A* conf
Iron: Private Inference on Transformers.
NeurIPS
Meng Hao, Hongwei Li, Hanxiao Chen, Pengzhi Xing, Guowen Xu, Tianwei Zhang
2022 J jnl
Practical Membership Inference Attack Against Collaborative Inference in Industrial IoT.
IEEE Trans. Ind. Informatics
Hanxiao Chen, Hongwei Li, Guishan Dong, Meng Hao, Guowen Xu, Xiaoming Huang, Zhe Liu
2022 — conf
Secure Feature Selection for Vertical Federated Learning in eHealth Systems.
ICC
Rui Zhang, Hongwei Li, Meng Hao, Hanxiao Chen, Yuan Zhang
2021 A conf
Efficient, Private and Robust Federated Learning.
ACSAC
Meng Hao, Hongwei Li, Guowen Xu, Hanxiao Chen, Tianwei Zhang
2021 C conf
Enhanced Mixup Training: a Defense Method Against Membership Inference Attack.
ISPEC
Zongqi Chen, Hongwei Li, Meng Hao, Guowen Xu
2021 B conf
Towards Lightweight and Efficient Distributed Intrusion Detection Framework.
GLOBECOM
Shuai Yuan, Hongwei Li, Rui Zhang, Meng Hao, Yiran Li, Rongxing Lu
2020 J jnl
Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence.
IEEE Trans. Ind. Informatics
Meng Hao, Hongwei Li, Xizhao Luo, Guowen Xu, Haomiao Yang, Sen Liu
2020 — conf
Privacy-aware and Resource-saving Collaborative Learning for Healthcare in Cloud Computing.
ICC
Meng Hao, Hongwei Li, Guowen Xu, Zhe Liu, Zongqi Chen
2019 — conf
Towards Efficient and Privacy-Preserving Federated Deep Learning.
ICC
Meng Hao, Hongwei Li, Guowen Xu, Sen Liu, Haomiao Yang