Ma, Jianfeng

ShieldFL: Mitigating Model Poisoning Attacks in Privacy-Preserving Federated Learning

Ma, Z., Ma, J., Miao, Y., Li, Y., & Deng, R. H. (2022) · IEEE Transactions on Information Forensics and Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 371

An efficient two-factor user authentication scheme with unlinkability for wireless sensor networks

Jiang, Q., Ma, J., Lu, X., & Tian, Y. (2015) · Peer-to-Peer Networking and Applications

Advanced Authentication Protocols SecurityUser Authentication and Security Systems

Cited by 191

A Decentralized Location Privacy-Preserving Spatial Crowdsourcing for Internet of Vehicles

Zhang, J., Yang, F., Ma, Z., Wang, Z., Liu, X., & Ma, J. (2021) · IEEE Transactions on Intelligent Transportation Systems

Mobile Crowdsensing and CrowdsourcingPrivacy-Preserving Technologies in Data

Cited by 98

Backdoor Defense with Machine Unlearning

Liu, Y., Fan, M., Chen, C., Liu, X., Ma, Z., Wang, L., & Ma, J. (2022) · IEEE INFOCOM 2022 - IEEE Conference on Computer Communications

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 95

A secure data self-destructing scheme in cloud computing

Xiong, J., Liu, X., Yao, Z., Ma, J., Li, Q., Geng, K., & Chen, P. S. (2014) · IEEE Transactions on Cloud Computing

Cryptography and Data SecurityCloud Data Security Solutions

Cited by 80

Pocket diagnosis: Secure federated learning against poisoning attack in the cloud

Ma, Z., Ma, J., Miao, Y., Liu, X., Choo, K.-K. R., & Deng, R. H. (2022) · IEEE Transactions on Services Computing

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 50

RevFRF: Enabling Cross-Domain Random Forest Training With Revocable Federated Learning

Liu, Y., Ma, Z., Yang, Y., Liu, X., Ma, J., & Ren, K. (2022) · IEEE Transactions on Dependable and Secure Computing

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 49

ADFL: A Poisoning Attack Defense Framework for Horizontal Federated Learning

Guo, J., Li, H., Huang, F., Liu, Z., Peng, Y., Li, X., Ma, J., Menon, V. G., & Igorevich, K. K. (2022) · IEEE Transactions on Industrial Informatics

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 49

Slot : Provenance-Driven APT Detection through Graph Reinforcement Learning

Qiao, W., Feng, Y., Li, T., Ma, Z., Shen, Y., Ma, J., & Liu, Y. (2025) · Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 16

Cloud-based federated boosting for mobile crowdsensing

Wang, Z., Yang, Y., Liu, Y., Liu, X., Gupta, B. B., & Ma, J. (2020) · arXiv

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 6