Meng Hao

According to our database, Meng Hao authored at least 39 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

BadTime: An Effective Backdoor Attack on Multivariate Long-Term Time Series Forecasting.

Kunlan Xiang, Haomiao Yang, Meng Hao, Haoxin Wang, Shaofeng Li, Wenbo Jiang

CoRR, August, 2025

The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning.

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

CoRR, February, 2025

Charge Your Clients: Payable Secure Computation and Its Applications.

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

IEEE Trans. Inf. Forensics Secur., 2025

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

IACR Cryptol. ePrint Arch., 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

IACR Cryptol. ePrint Arch., 2025

Distributed Function Secret Sharing and Applications.

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

Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

2024

Vertical Federated Learning Across Heterogeneous Regions for Industry 4.0.

Rui Zhang, Hongwei Li, Luoding Tian, Meng Hao, Yuan Zhang

IEEE Trans. Ind. Informatics, August, 2024

SVFGNN: A privacy-preserving vertical federated graph neural network model training framework based on split learning.

Yanjun Liu, Hongwei Li, Meng Hao

Peer Peer Netw. Appl., January, 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 Trans. Serv. Comput., 2024

Stealthy Targeted Backdoor Attacks Against Image Captioning.

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

IEEE Trans. Inf. Forensics Secur., 2024

SecBNN: Efficient Secure Inference on Binary Neural Networks.

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

IEEE Trans. Inf. Forensics Secur., 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 Trans. Dependable Secur. Comput., 2024

Unbalanced Private Set Union with Reduced Computation and Communication.

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

IACR Cryptol. ePrint Arch., 2024

Combinational Backdoor Attack against Customized Text-to-Image Models.

Wenbo Jiang, Jiaming He, Hongwei Li, Guowen Xu, Rui Zhang, Hanxiao Chen, Meng Hao, Haomiao Yang

CoRR, 2024

Benchmark GELU in Secure Multi-Party Computation.

Rui Zhang, Hongwei Li, Meng Hao, Hanxiao Chen, Dongxiao Liu, Yuan Zhang, Dianhua Tang

Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023

ESA-FedGNN: Efficient secure aggregation for federated graph neural networks.

Yanjun Liu, Hongwei Li, Xinyuan Qian, Meng Hao

Peer Peer Netw. Appl., March, 2023

FastSecNet: An Efficient Cryptographic Framework for Private Neural Network Inference.

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

IEEE Trans. Inf. Forensics Secur., 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 Trans. Inf. Forensics Secur., 2023

Unbalanced Circuit-PSI from Oblivious Key-Value Retrieval.

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

IACR Cryptol. ePrint Arch., 2023

Extracting Cloud-based Model with Prior Knowledge.

Shiqian Zhao, Kangjie Chen, Meng Hao, Jian Zhang, Guowen Xu, Hongwei Li, Tianwei Zhang

CoRR, 2023

GuardHFL: Privacy Guardian for Heterogeneous Federated Learning.

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

Proceedings of the International Conference on Machine Learning, 2023

Toward Efficient and End-to-End Privacy-Preserving Distributed Gradient Boosting Decision Trees.

Shuai Yuan, Hongwei Li, Xinyuan Qian, Meng Hao, Yixiao Zhai, Xiaolong Cui

Proceedings of the IEEE International Conference on Communications, 2023

TriFSS: Secure Trigonometric Function Evaluation via Function Secret Sharing.

Pengzhi Xing, Hongwei Li, Meng Hao, Hanxiao Chen, Shengke Zeng

Proceedings of the IEEE International Conference on Communications, 2023

SecMath: An Efficient 2-Party Cryptographic Framework for Math Functions.

Jia Hu, Hongwei Li, Hanxiao Chen, Meng Hao, Xilin Zhang

Proceedings of the IEEE International Conference on Communications, 2023

Membership Inference Attacks Against the Graph Classification.

Junze Yang, Hongwei Li, Wenshu Fan, Xilin Zhang, Meng Hao

Proceedings of the IEEE Global Communications Conference, 2023

Practical and Privacy-Preserving Density-Based Clustering via Shuffling.

Yingzhe Wang, Hongwei Li, Hanxiao Chen, Xilin Zhang, Meng Hao

Proceedings of the IEEE Global Communications Conference, 2023

Privacy-Preserving and Verifiable Outsourcing Inference Against Malicious Servers.

Yiyao Liu, Hongwei Li, Meng Hao, Xilin Zhang, Guiqiang Hu

Proceedings of the IEEE Global Communications Conference, 2023

2022

Practical Membership Inference Attack Against Collaborative Inference in Industrial IoT.

Hanxiao Chen, Hongwei Li, Guishan Dong, Meng Hao, Guowen Xu, Xiaoming Huang, Zhe Liu

IEEE Trans. Ind. Informatics, 2022

Iron: Private Inference on Transformers.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Secure Feature Selection for Vertical Federated Learning in eHealth Systems.

Rui Zhang, Hongwei Li, Meng Hao, Hanxiao Chen, Yuan Zhang

Proceedings of the IEEE International Conference on Communications, 2022

Efficient and Privacy-Preserving Federated Learning with Irregular Users.

Jieyu Xu, Hongwei Li, Jia Zeng, Meng Hao

Proceedings of the IEEE International Conference on Communications, 2022

CryptoFE: Practical and Privacy-Preserving Federated Learning via Functional Encryption.

Xinyuan Qian, Hongwei Li, Meng Hao, Shuai Yuan, Xilin Zhang, Song Guo

Proceedings of the IEEE Global Communications Conference, 2022

Fast Secure Aggregation for Privacy-Preserving Federated Learning.

Yanjun Liu, Xinyuan Qian, Hongwei Li, Meng Hao, Song Guo

Proceedings of the IEEE Global Communications Conference, 2022

2021

Enhanced Mixup Training: a Defense Method Against Membership Inference Attack.

Zongqi Chen, Hongwei Li, Meng Hao, Guowen Xu

Proceedings of the Information Security Practice and Experience: 16th International Conference, 2021

Towards Lightweight and Efficient Distributed Intrusion Detection Framework.

Shuai Yuan, Hongwei Li, Rui Zhang, Meng Hao, Yiran Li, Rongxing Lu

Proceedings of the IEEE Global Communications Conference, 2021

Efficient, Private and Robust Federated Learning.

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

Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

2020

Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence.

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

IEEE Trans. Ind. Informatics, 2020

Privacy-aware and Resource-saving Collaborative Learning for Healthcare in Cloud Computing.

Meng Hao, Hongwei Li, Guowen Xu, Zhe Liu, Zongqi Chen

Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019

Towards Efficient and Privacy-Preserving Federated Deep Learning.

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

Proceedings of the 2019 IEEE International Conference on Communications, 2019