Meng Hao

Portrait of Meng Hao

I am a Research Scientist at Singapore Management University (SMU), working with Prof. Robert H. Deng, Prof. Guomin Yang, and Prof. Haiyang Xue. I received my Ph.D. from University of Electronic Science and Technology of China under the supervision of Prof. Hongwei Li. I also spent two years at Nanyang Technological University advised by Prof. Tianwei Zhang.


My research focuses on developing practical cryptographic systems that ensure data privacy and integrity. As first/corresponding author, I have published at security venues including IEEE S&P, ACM CCS, USENIX Security, NDSS, ACSAC, IEEE TIFS, and IEEE TDSC. I have served as a Program Committee member for IEEE S&P, ACM CCS, USENIX Security, NDSS, IEEE EuroS&P, ACM AsiaCCS, and PETS. I was named a Stanford/Elsevier World's Top 2% Scientist in 2025.


Email: menghao@smu.edu.sg; menghao303@gmail.com  |  Google Scholar

Publications

Leading security conferences: S&P ('26), CCS ('26x2, '24), USENIX Security ('26, '25, '24x2), NDSS ('27x3, '25)

Underlined author: student co-supervised by Meng Hao.

▸ Privacy-Preserving Machine Learning

Vespa: Efficient Secure Aggregation with Integrity Defense under Server Privacy

Jia Hu, Hongwei Li, Meng Hao, Hanxiao Chen, Pengzhi Xing, Wenbo Jiang, Dongxiao Liu, Haiyang Xue, Robert H. Deng

Network and Distributed System Security Symposium (NDSS), 2027

DyFence: Affordable Zero-Knowledge Auditing for Machine-Learning-as-a-Service

Pengzhi Xing, Meng Hao, Hongwei Li, Shenghao Wu, Ziyao Liu, Lisha Yao, Hanxiao Chen, Guomin Yang, Robert H. Deng

Network and Distributed System Security Symposium (NDSS), 2027

SecDVA: A Maliciously Secure Multi-Party Framework for Data Value Assessment in Modern Machine Learning Data Markets

Lixu Wang, Xinpeng Yang, Meng Hao, Guangyi Zhang, Tianwei Zhang, Wei Dong, Chenkai Weng

IEEE International Conference on Data Engineering (ICDE), 2027

Sanitizer: Blazing-fast, Private and Robust Federated Learning [paper]

Hanxiao Chen, Hongwei Li, Meng Hao, Jia Hu, Hao Ren, Haomiao Yang, Tianwei Zhang, Guowen Xu

IEEE Transactions on Information Forensics and Security, 2026

Conan: Secure and Reliable Machine Learning Inference against Malicious Service Providers [paper]

Hanxiao Chen, Hongwei Li, Meng Hao, Pengzhi Xing, Jia Hu, Wenbo Jiang, Tianwei Zhang, Guowen Xu

IEEE Transactions on Information Forensics and Security, 2026

PrivTF: Efficient and Privacy-Preserving Transformer Inference with Optimized Protocols for Secure NLP [paper]

Ziwei Peng, Kaiping Xue, Bin Zhu, Yaxuan Huang, Jian Li, Meng Hao, Tianwei Zhang

IEEE Transactions on Network Science and Engineering, 2026

Scalable Zero-knowledge Proofs for Non-linear Functions in Machine Learning [paper]

Meng Hao, Hanxiao Chen, Hongwei Li, Chenkai Weng, Yuan Zhang, Haomiao Yang, Tianwei Zhang

USENIX Security Symposium, 2024

SecBNN: Efficient Secure Inference on Binary Neural Networks [paper]

Hanxiao Chen, Hongwei Li, Meng Hao, Jia Hu, Guowen Xu, Xilin Zhang, Tianwei Zhang

IEEE Transactions on Information Forensics and Security, 2024

Efficient and Privacy-preserving Outsourcing of Gradient Boosting Decision Tree Inference [paper]

Shuai Yuan, Hongwei Li, Xinyuan Qian, Meng Hao, Yixiao Zhai, Guowen Xu

IEEE Transactions on Services Computing, 2024

Decentralized Multi-Client Functional Encryption for Inner Product with Applications to Federated Learning [paper]

Xinyuan Qian, Hongwei Li, Meng Hao, Guowen Xu, Haoyong Wang, Yuguang Fang

IEEE Transactions on Dependable and Secure Computing, 2024

Vertical Federated Learning across Heterogeneous Regions for Industry 4.0 [paper]

Rui Zhang, Hongwei Li, Meng Hao, Yuan Zhang

IEEE Transactions on Industrial Informatics, 2024

GuardHFL: Privacy Guardian for Heterogeneous Federated Learning [paper]

Hanxiao Chen, Meng Hao, Hongwei Li, Kangjie Chen, Guowen Xu, Tianwei Zhang, Xilin Zhang

International Conference on Machine Learning (ICML), 2023

FastSecNet: An Efficient Cryptographic Framework for Neural Network Inference [paper]

Meng Hao, Hongwei Li, Hanxiao Chen, Pengzhi Xing, Tianwei Zhang

IEEE Transactions on Information Forensics and Security, 2023

PriVDT: An Efficient Two-Party Cryptographic Framework for Vertical Decision Trees [paper]

Hanxiao Chen, Hongwei Li, Yingzhe Wang, Meng Hao, Guowen Xu, Tianwei Zhang

IEEE Transactions on Information Forensics and Security, 2023

Iron: Private Inference on Transformers [paper, code]

Meng Hao, Hongwei Li, Hanxiao Chen, Pengzhi Xing, Guowen Xu, Tianwei Zhang

Neural Information Processing Systems (NeurIPS), 2022

Efficient, Private and Robust Federated Learning [paper]

Meng Hao, Hongwei Li, Guowen Xu, Hanxiao Chen, Tianwei Zhang

Annual Computer Security Applications Conference (ACSAC), 2021

Efficient and Privacy-enhanced Federated Learning for Industrial Artificial Intelligence [paper]

Meng Hao, Hongwei Li, Xizhao Luo, Guowen Xu, Haomiao Yang, Sen Liu

IEEE Transactions on Industrial Informatics, 2020

▸ Private Set Operations and Retrieval

Efficient Fuzzy Private Set Intersection from Secret-shared OPRF [paper, code]

Xinpeng Yang, Meng Hao, Chenkai Weng, Robert H. Deng, Yonggang Wen, Tianwei Zhang

IEEE Symposium on Security and Privacy (S&P), 2026

Towards Scalable Fuzzy PSI via Efficient Fuzzy Matching [paper]

Meng Hao, Xinpeng Yang, Hanxiao Chen, Tianwei Zhang, Haiyang Xue, Guomin Yang, Hongwei Li, Robert H. Deng

ACM Conference on Computer and Communications Security (CCS), 2026

Efficient Fuzzy PSI under One-Sided Assumptions [paper]

Xinpeng Yang, Meng Hao, Yanxue Jia, Chenkai Weng, Yonggang Wen, Tianwei Zhang

ACM Conference on Computer and Communications Security (CCS), 2026

Enhanced Private Set Union from Secret-shared Private Membership Test [paper]

Meng Hao, Guodong Wang, Xinpeng Yang, Pengzhi Xing, Hanxiao Chen, Tianwei Zhang, Haiyang Xue, Guomin Yang, Hongwei Li, Robert H. Deng

USENIX Security Symposium, 2026

Practical Keyword Private Information Retrieval from Key-to-Index Mappings [paper, code]

Meng Hao, Weiran Liu, Liqiang Peng, Cong Zhang, Pengfei Wu, Lei Zhang, Hongwei Li, Robert H. Deng

USENIX Security Symposium, 2025

Unbalanced Circuit-PSI from Oblivious Key-Value Retrieval [paper]

Meng Hao, Weiran Liu, Liqiang Peng, Hongwei Li, Cong Zhang, Hanxiao Chen, Tianwei Zhang

USENIX Security Symposium, 2024

Unbalanced Private Set Union with Reduced Computation and Communication [paper]

Cong Zhang, Yu Chen, Weiran Liu, Liqiang Peng, Meng Hao, Anyu Wang, Xiaoyun Wang

ACM Conference on Computer and Communications Security (CCS), 2024

▸ MPC, ZKP & Cryptographic Protocols

LAS+: Lattice-based Adaptor Signature with Stronger Security

Jiaheng Wang, Guomin Yang, Haiyang Xue, Meng Hao, Robert H. Deng

Information Security Conference (ISC), 2026

KyberBridge: Enabling One-to-Many Data Sharing with Kyber Cryptosystem

Pengfei Wu, Lisha Yao, Guomin Yang, Yang Yang, Meng Hao, Haiyang Xue, Robert H. Deng

European Symposium on Research in Computer Security (ESORICS), 2026

Cloud-Compatible and Scalable Private Messaging via Authentication Piggybacking

Jingwen Lu, Meng Hao, Yuan Zhang, Yaqing Song, Tianhao Yang

IEEE/ACM International Symposium on Quality of Service (IWQoS), 2026

T3AT: Threshold-Authorized, Threshold-Redeemable, and Non-Transferable Anonymous Tokens [paper]

Xincheng Li, Jian Shen, Jianting Ning, Meng Hao, Leo Yu Zhang

IEEE Transactions on Information Forensics and Security, 2026

STEAD: Subversion-Resistant Portable Encrypted Data Deduplication with File Sharing

Changsong Jiang, Xiaosong Zhang, Guomin Yang, Zhongming Wang, Meng Hao, Pengfei Wu

IEEE Transactions on Information Forensics and Security, 2026

HyperSiniel: Guaranteed Output Delivery Comes (Almost) Free in Private Delegation of zkSNARKs [paper]

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, 2026

Distributed Function Secret Sharing and Applications [paper, code]

Pengzhi Xing, Hongwei Li, Meng Hao, Hanxiao Chen, Jia Hu, Dongxiao Liu

Network and Distributed System Security Symposium (NDSS), 2025

Charge Your Clients: Payable Secure Computation and Its Applications [paper]

Cong Zhang, Liqiang Peng, Weiran Liu, Shuaishuai Li, Meng Hao, Lei Zhang, Dongdai Lin

IEEE Transactions on Information Forensics and Security, 2025

▸ Machine Learning and System Security

Beyond Sensitive APIs: Detecting Access Control Flaws at Sensitive Callsites in Android Firmware

Haotian Deng, Meng Hao, Hanxiao Chen, Xinyuan Qian, Guowen Xu, Hongwei Li, Chaoshun Zuo

Network and Distributed System Security Symposium (NDSS), 2027

An Advanced Gradient Leakage Attack against Duplicate Labels via Model Outputs Reconstruction [paper]

Kunlan Xiang, Haomiao Yang, Meng Hao, Zikang Ding, Hongwei Li, Qingchuan Zhao, Tianwei Zhang

IEEE Transactions on Dependable and Secure Computing, 2026

The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning [paper]

Kunlan Xiang, Haomiao Yang, Meng Hao, Shaofeng Li, Haoxin Wang, Zikang Ding, Wenbo Jiang, Tianwei Zhang

IEEE Transactions on Information Forensics and Security, 2025

Stealthy Targeted Backdoor Attacks against Image Captioning [paper]

Wenshu Fan, Hongwei Li, Wenbo Jiang, Meng Hao, Shui Yu, Xiao Zhang

IEEE Transactions on Information Forensics and Security, 2024

Practical Membership Inference Attack Against Collaborative Inference in Industrial IoT [paper]

Hanxiao Chen, Hongwei Li, Guishan Dong, Meng Hao, Guowen Xu, Haomiao Yang, Zhe Liu

IEEE Transactions on Industrial Informatics, 2022

Services

Conference Program Committee:

Miscellaneous