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ORCIDMeng Hao 0001
Person information
- affiliation: Singapore Management University, School of Computing and Information Systems, Singapore
- affiliation (PhD 2024): University of Electronic Science and Technology of China, Chengdu, China
- not to be confused with: Meng Hao 0003
Other persons with the same name
- Meng Hao 0002
![[0000-0003-0043-4370]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0043-4370")
— Harbin Institute of Technology, School of Cyberspace Science, China - Meng Hao 0003 — Zhejiang University, College of Computer Science and Technology, China (and 1 more)
- Meng Hao 0004 — Fudan University, School of Life Sciences, Department of Anthropology and Human Genetics, Shanghai, China
- Meng Hao 0005 — China University of Mining and Technology, College of Geoscience and Surveying Engineering, Beijing, China
- Meng Hao 0006 — Harbin Engineering University, College of Intelligent Systems Science and Engineering, China
- Meng Hao 0007 — LanguageX AI Lab, Beijing, China
- Meng Hao 0008 — Inner Mongolia Power Group Co. Ltd., China
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2020 – today
- 2026
[j14]Ziwei Peng, Kaiping Xue, Bin Zhu, Yaxuan Huang, Jian Li, Meng Hao, Tianwei Zhang:
PrivTF: Efficient and Privacy-Preserving Transformer Inference With Optimized Protocols for Secure NLP. IEEE Trans. Netw. Sci. Eng. 13: 1887-1901 (2026)- 2025
- [j13]Cong Zhang, Liqiang Peng, Weiran Liu, Shuaishuai Li, Meng Hao, Lei Zhang, Dongdai Lin:
Charge Your Clients: Payable Secure Computation and Its Applications. IEEE Trans. Inf. Forensics Secur. 20: 4183-4195 (2025) - [j12]Kunlan Xiang, Haomiao Yang, Meng Hao, Shaofeng Li, Haoxin Wang, Zikang Ding, Wenbo Jiang, Tianwei Zhang:
The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks Through Model Poisoning. IEEE Trans. Inf. Forensics Secur. 20: 11477-11488 (2025) - [c24]Robert H. Deng, Hongwei Li, Hanxiao Chen, Meng Hao, Pengzhi Xing, Jia Hu, Rui Zhang, Wenbo Jiang:
SecInfer: Secure and Efficient Model Inference on Vertically Partitioned Data. ICC 2025: 422-427 - [c23]Pengzhi Xing, Hongwei Li, Meng Hao, Hanxiao Chen, Jia Hu, Dongxiao Liu:
Distributed Function Secret Sharing and Applications. NDSS 2025 - [c22]Meng Hao, Weiran Liu, Liqiang Peng, Cong Zhang, Pengfei Wu, Lei Zhang, Hongwei Li, Robert H. Deng:
Practical Keyword Private Information Retrieval from Key-to-Index Mappings. USENIX Security Symposium 2025: 3397-3416 - [i10]Kunlan Xiang, Haomiao Yang, Meng Hao, Haoxin Wang, Shaofeng Li, Zikang Ding, Tianwei Zhang:
The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning. CoRR abs/2502.04106 (2025) - [i9]Kunlan Xiang, Haomiao Yang, Meng Hao, Haoxin Wang, Shaofeng Li, Wenbo Jiang:
BadTime: An Effective Backdoor Attack on Multivariate Long-Term Time Series Forecasting. CoRR abs/2508.04189 (2025) - [i8]Meng Hao, Weiran Liu, Liqiang Peng, Cong Zhang, Pengfei Wu, Lei Zhang, Hongwei Li, Robert H. Deng:
Practical Keyword Private Information Retrieval from Key-to-Index Mappings. IACR Cryptol. ePrint Arch. 2025: 210 (2025) - [i7]Meng Hao, Hanxiao Chen, Hongwei Li, Chenkai Weng, Yuan Zhang, Haomiao Yang, Tianwei Zhang:
Scalable Zero-knowledge Proofs for Non-linear Functions in Machine Learning. IACR Cryptol. ePrint Arch. 2025: 507 (2025) - [i6]Cong Zhang, Liqiang Peng, Weiran Liu, Shuaishuai Li, Meng Hao, Lei Zhang, Dongdai Lin:
Charge Your Clients: Payable Secure Computation and Its Applications. IACR Cryptol. ePrint Arch. 2025: 630 (2025) - 2024
- [j11]Yanjun Liu, Hongwei Li, Meng Hao:
SVFGNN: A privacy-preserving vertical federated graph neural network model training framework based on split learning. Peer Peer Netw. Appl. 17(1): 246-260 (2024) - [j10]Xinyuan Qian, Hongwei Li, Meng Hao, Guowen Xu, Haoyong Wang, Yuguang Fang:
Decentralized Multi-Client Functional Encryption for Inner Product With Applications to Federated Learning. IEEE Trans. Dependable Secur. Comput. 21(6): 5781-5796 (2024) - [j9]Wenshu Fan, Hongwei Li, Wenbo Jiang, Meng Hao, Shui Yu, Xiao Zhang:
Stealthy Targeted Backdoor Attacks Against Image Captioning. IEEE Trans. Inf. Forensics Secur. 19: 5655-5667 (2024) - [j8]Hanxiao Chen, Hongwei Li, Meng Hao, Jia Hu, Guowen Xu, Xilin Zhang, Tianwei Zhang:
SecBNN: Efficient Secure Inference on Binary Neural Networks. IEEE Trans. Inf. Forensics Secur. 19: 10273-10286 (2024) - [j7]Rui Zhang, Hongwei Li, Luoding Tian, Meng Hao, Yuan Zhang:
Vertical Federated Learning Across Heterogeneous Regions for Industry 4.0. IEEE Trans. Ind. Informatics 20(8): 10145-10155 (2024) - [j6]Shuai Yuan, Hongwei Li, Xinyuan Qian, Meng Hao, Yixiao Zhai, Guowen Xu:
Efficient and Privacy-Preserving Outsourcing of Gradient Boosting Decision Tree Inference. IEEE Trans. Serv. Comput. 17(5): 2334-2348 (2024) - [c21]Cong Zhang, Yu Chen, Weiran Liu, Liqiang Peng, Meng Hao, Anyu Wang, Xiaoyun Wang:
Unbalanced Private Set Union with Reduced Computation and Communication. CCS 2024: 1434-1447 - [c20]Rui Zhang, Hongwei Li, Meng Hao, Hanxiao Chen, Dongxiao Liu, Yuan Zhang, Dianhua Tang:
Benchmark GELU in Secure Multi-Party Computation. GLOBECOM 2024: 43-48 - [c19]Meng Hao, Hanxiao Chen, Hongwei Li, Chenkai Weng, Yuan Zhang, Haomiao Yang, Tianwei Zhang:
Scalable Zero-knowledge Proofs for Non-linear Functions in Machine Learning. USENIX Security Symposium 2024 - [c18]Meng Hao, Weiran Liu, Liqiang Peng, Hongwei Li, Cong Zhang, Hanxiao Chen, Tianwei Zhang:
Unbalanced Circuit-PSI from Oblivious Key-Value Retrieval. USENIX Security Symposium 2024 - [i5]Wenshu Fan, Hongwei Li, Wenbo Jiang, Meng Hao, Shui Yu, Xiao Zhang:
Stealthy Targeted Backdoor Attacks against Image Captioning. CoRR abs/2406.05874 (2024) - [i4]Wenbo Jiang, Jiaming He, Hongwei Li, Guowen Xu, Rui Zhang, Hanxiao Chen, Meng Hao, Haomiao Yang:
Combinational Backdoor Attack against Customized Text-to-Image Models. CoRR abs/2411.12389 (2024) - [i3]Cong Zhang, Yu Chen, Weiran Liu, Liqiang Peng, Meng Hao, Anyu Wang, Xiaoyun Wang:
Unbalanced Private Set Union with Reduced Computation and Communication. IACR Cryptol. ePrint Arch. 2024: 1340 (2024) - 2023
- [j5]Yanjun Liu, Hongwei Li, Xinyuan Qian, Meng Hao:
ESA-FedGNN: Efficient secure aggregation for federated graph neural networks. Peer Peer Netw. Appl. 16(2): 1257-1269 (2023) - [j4]Hanxiao Chen, Hongwei Li, Yingzhe Wang, Meng Hao, Guowen Xu, Tianwei Zhang:
PriVDT: An Efficient Two-Party Cryptographic Framework for Vertical Decision Trees. IEEE Trans. Inf. Forensics Secur. 18: 1006-1021 (2023) - [j3]Meng Hao, Hongwei Li, Hanxiao Chen, Pengzhi Xing, Tianwei Zhang:
FastSecNet: An Efficient Cryptographic Framework for Private Neural Network Inference. IEEE Trans. Inf. Forensics Secur. 18: 2569-2582 (2023) - [c17]Yingzhe Wang, Hongwei Li, Hanxiao Chen, Xilin Zhang, Meng Hao:
Practical and Privacy-Preserving Density-Based Clustering via Shuffling. GLOBECOM 2023: 50-55 - [c16]Yiyao Liu, Hongwei Li, Meng Hao, Xilin Zhang, Guiqiang Hu:
Privacy-Preserving and Verifiable Outsourcing Inference Against Malicious Servers. GLOBECOM 2023: 5001-5006 - [c15]Junze Yang, Hongwei Li, Wenshu Fan, Xilin Zhang, Meng Hao:
Membership Inference Attacks Against the Graph Classification. GLOBECOM 2023: 6729-6734 - [c14]Shuai Yuan, Hongwei Li, Xinyuan Qian, Meng Hao, Yixiao Zhai, Xiaolong Cui:
Toward Efficient and End-to-End Privacy-Preserving Distributed Gradient Boosting Decision Trees. ICC 2023: 1566-1571 - [c13]Pengzhi Xing, Hongwei Li, Meng Hao, Hanxiao Chen, Shengke Zeng:
TriFSS: Secure Trigonometric Function Evaluation via Function Secret Sharing. ICC 2023: 1585-1590 - [c12]Jia Hu, Hongwei Li, Hanxiao Chen, Meng Hao, Xilin Zhang:
SecMath: An Efficient 2-Party Cryptographic Framework for Math Functions. ICC 2023: 1597-1602 - [c11]Hanxiao Chen, Meng Hao, Hongwei Li, Kangjie Chen, Guowen Xu, Tianwei Zhang, Xilin Zhang:
GuardHFL: Privacy Guardian for Heterogeneous Federated Learning. ICML 2023: 4566-4584 - [i2]Shiqian Zhao, Kangjie Chen, Meng Hao, Jian Zhang, Guowen Xu, Hongwei Li, Tianwei Zhang:
Extracting Cloud-based Model with Prior Knowledge. CoRR abs/2306.04192 (2023) - [i1]Meng Hao, Weiran Liu, Liqiang Peng, Hongwei Li, Cong Zhang, Hanxiao Chen, Tianwei Zhang:
Unbalanced Circuit-PSI from Oblivious Key-Value Retrieval. IACR Cryptol. ePrint Arch. 2023: 1636 (2023) - 2022
- [j2]Hanxiao Chen, Hongwei Li, Guishan Dong, Meng Hao, Guowen Xu, Xiaoming Huang, Zhe Liu:
Practical Membership Inference Attack Against Collaborative Inference in Industrial IoT. IEEE Trans. Ind. Informatics 18(1): 477-487 (2022) - [c10]Xinyuan Qian, Hongwei Li, Meng Hao, Shuai Yuan, Xilin Zhang, Song Guo:
CryptoFE: Practical and Privacy-Preserving Federated Learning via Functional Encryption. GLOBECOM 2022: 2999-3004 - [c9]Yanjun Liu, Xinyuan Qian, Hongwei Li, Meng Hao, Song Guo:
Fast Secure Aggregation for Privacy-Preserving Federated Learning. GLOBECOM 2022: 3017-3022 - [c8]Jieyu Xu, Hongwei Li, Jia Zeng, Meng Hao:
Efficient and Privacy-Preserving Federated Learning with Irregular Users. ICC 2022: 534-539 - [c7]Rui Zhang, Hongwei Li, Meng Hao, Hanxiao Chen, Yuan Zhang:
Secure Feature Selection for Vertical Federated Learning in eHealth Systems. ICC 2022: 1257-1262 - [c6]Meng Hao, Hongwei Li, Hanxiao Chen, Pengzhi Xing, Guowen Xu, Tianwei Zhang:
Iron: Private Inference on Transformers. NeurIPS 2022 - 2021
- [c5]Meng Hao, Hongwei Li, Guowen Xu, Hanxiao Chen, Tianwei Zhang:
Efficient, Private and Robust Federated Learning. ACSAC 2021: 45-60 - [c4]Shuai Yuan, Hongwei Li, Rui Zhang, Meng Hao, Yiran Li, Rongxing Lu:
Towards Lightweight and Efficient Distributed Intrusion Detection Framework. GLOBECOM 2021: 1-6 - [c3]Zongqi Chen, Hongwei Li, Meng Hao, Guowen Xu:
Enhanced Mixup Training: a Defense Method Against Membership Inference Attack. ISPEC 2021: 32-45 - 2020
- [j1]Meng Hao, Hongwei Li, Xizhao Luo, Guowen Xu, Haomiao Yang, Sen Liu:
Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence. IEEE Trans. Ind. Informatics 16(10): 6532-6542 (2020) - [c2]Meng Hao, Hongwei Li, Guowen Xu, Zhe Liu, Zongqi Chen:
Privacy-aware and Resource-saving Collaborative Learning for Healthcare in Cloud Computing. ICC 2020: 1-6
2010 – 2019
- 2019
- [c1]Meng Hao, Hongwei Li, Guowen Xu, Sen Liu, Haomiao Yang:
Towards Efficient and Privacy-Preserving Federated Deep Learning. ICC 2019: 1-6
Coauthor Index
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last updated on 2026-01-03 00:50 CET by the dblp team
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