研究方向
• 大数据安全与隐私
• 人工智能安全与隐私
• 分布式系统安全与隐私
近期论文
LDP-IDS: Local Differential Privacy for Infinite Data Streams
by X. Ren, L. Shi, W. Yu, S. Yang, C. Zhao, Z. Xu
In Proceedings of 41th ACM SIGMOD International Conference on Management of Data (SIGMOD 2022), pages TBD, Philadelphia, USA, June 2022.
Latent dirichlet allocation model training with differential privacy
by F. Zhao, X. Ren, S. Yang, Q. Han, P. Zhao, X. Yang
IEEE Transactions on Information Forensics and Security (IEEE TIFS), Vol. 16, pages 1290-1305, 2020.
DPCrowd: privacy-preserving and communication-efficient decentralized statistical estimation for real-time crowdsourced data
by X. Ren, C.M. Yu, W. Yu, X. Yang, J. Zhao, S. Yang
IEEE Internet of Things Journal (IEEE IoT-J), Vol. 8, No. 4, pages 2775-2791, 2020.
LoPub : High-Dimensional Crowdsourced Data Publication With Local Differential Privacy
by X. Ren, C.M. Yu, W. Yu, S. Yang, X. Yang, J. McCann, P. S. Yu
IEEE Transactions on Information Forensics and Security (IEEE TIFS), Vol. 13, No. 9, pages 2151-2166, 2018.
On privacy protection of latent dirichlet allocation model training
by F. Zhao, X. Ren, S. Yang, X. Yang
In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), pages 4860-4866, Macau, China, August 2019.


