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
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.
Vespa: Efficient Secure Aggregation with Integrity Defense under Server Privacy
Network and Distributed System Security Symposium (NDSS), 2027
DyFence: Affordable Zero-Knowledge Auditing for Machine-Learning-as-a-Service
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
IEEE International Conference on Data Engineering (ICDE), 2027
Sanitizer: Blazing-fast, Private and Robust Federated Learning [paper]
IEEE Transactions on Information Forensics and Security, 2026
Conan: Secure and Reliable Machine Learning Inference against Malicious Service Providers [paper]
IEEE Transactions on Information Forensics and Security, 2026
PrivTF: Efficient and Privacy-Preserving Transformer Inference with Optimized Protocols for Secure NLP [paper]
IEEE Transactions on Network Science and Engineering, 2026
Scalable Zero-knowledge Proofs for Non-linear Functions in Machine Learning [paper]
USENIX Security Symposium, 2024
SecBNN: Efficient Secure Inference on Binary Neural Networks [paper]
IEEE Transactions on Information Forensics and Security, 2024
Efficient and Privacy-preserving Outsourcing of Gradient Boosting Decision Tree Inference [paper]
IEEE Transactions on Services Computing, 2024
Decentralized Multi-Client Functional Encryption for Inner Product with Applications to Federated Learning [paper]
IEEE Transactions on Dependable and Secure Computing, 2024
Vertical Federated Learning across Heterogeneous Regions for Industry 4.0 [paper]
IEEE Transactions on Industrial Informatics, 2024
GuardHFL: Privacy Guardian for Heterogeneous Federated Learning [paper]
International Conference on Machine Learning (ICML), 2023
FastSecNet: An Efficient Cryptographic Framework for Neural Network Inference [paper]
IEEE Transactions on Information Forensics and Security, 2023
PriVDT: An Efficient Two-Party Cryptographic Framework for Vertical Decision Trees [paper]
IEEE Transactions on Information Forensics and Security, 2023
Iron: Private Inference on Transformers [paper, code]
Neural Information Processing Systems (NeurIPS), 2022
Efficient, Private and Robust Federated Learning [paper]
Annual Computer Security Applications Conference (ACSAC), 2021
Efficient and Privacy-enhanced Federated Learning for Industrial Artificial Intelligence [paper]
IEEE Transactions on Industrial Informatics, 2020
Efficient Fuzzy Private Set Intersection from Secret-shared OPRF [paper, code]
IEEE Symposium on Security and Privacy (S&P), 2026
Towards Scalable Fuzzy PSI via Efficient Fuzzy Matching [paper]
ACM Conference on Computer and Communications Security (CCS), 2026
Efficient Fuzzy PSI under One-Sided Assumptions [paper]
ACM Conference on Computer and Communications Security (CCS), 2026
Enhanced Private Set Union from Secret-shared Private Membership Test [paper]
USENIX Security Symposium, 2026
Practical Keyword Private Information Retrieval from Key-to-Index Mappings [paper, code]
USENIX Security Symposium, 2025
Unbalanced Circuit-PSI from Oblivious Key-Value Retrieval [paper]
USENIX Security Symposium, 2024
Unbalanced Private Set Union with Reduced Computation and Communication [paper]
ACM Conference on Computer and Communications Security (CCS), 2024
LAS+: Lattice-based Adaptor Signature with Stronger Security
Information Security Conference (ISC), 2026
KyberBridge: Enabling One-to-Many Data Sharing with Kyber Cryptosystem
European Symposium on Research in Computer Security (ESORICS), 2026
Cloud-Compatible and Scalable Private Messaging via Authentication Piggybacking
IEEE/ACM International Symposium on Quality of Service (IWQoS), 2026
T3AT: Threshold-Authorized, Threshold-Redeemable, and Non-Transferable Anonymous Tokens [paper]
IEEE Transactions on Information Forensics and Security, 2026
STEAD: Subversion-Resistant Portable Encrypted Data Deduplication with File Sharing
IEEE Transactions on Information Forensics and Security, 2026
HyperSiniel: Guaranteed Output Delivery Comes (Almost) Free in Private Delegation of zkSNARKs [paper]
IEEE Transactions on Dependable and Secure Computing, 2026
Distributed Function Secret Sharing and Applications [paper, code]
Network and Distributed System Security Symposium (NDSS), 2025
Charge Your Clients: Payable Secure Computation and Its Applications [paper]
IEEE Transactions on Information Forensics and Security, 2025
Beyond Sensitive APIs: Detecting Access Control Flaws at Sensitive Callsites in Android Firmware
Network and Distributed System Security Symposium (NDSS), 2027
An Advanced Gradient Leakage Attack against Duplicate Labels via Model Outputs Reconstruction [paper]
IEEE Transactions on Dependable and Secure Computing, 2026
The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning [paper]
IEEE Transactions on Information Forensics and Security, 2025
Stealthy Targeted Backdoor Attacks against Image Captioning [paper]
IEEE Transactions on Information Forensics and Security, 2024
Practical Membership Inference Attack Against Collaborative Inference in Industrial IoT [paper]
IEEE Transactions on Industrial Informatics, 2022
Conference Program Committee: