Simultaneously Advising via Differential Privacy in Cloud Servers Environment. - Sheng Shen 005; Tianqing Zhu; Dayong Ye; Mengmeng Yang 002; Tingting Liao; Wanlei Zhou 001 (ICA3PP (1), 2019)

Differential Privacy Preservation for Smart Meter Systems. - Junfang Wu; Weizhong Qiang; Tianqing Zhu; Hai Jin 001; Peng Xu 003; Sheng Shen 005 (ICA3PP (1), 2019)

Model Poisoning Defense on Federated Learning: A Validation Based Approach. - Yuao Wang; Tianqing Zhu; Wenhan Chang; Sheng Shen 005; Wei Ren 002 (NSS, 2020)

An optimized differential privacy scheme with reinforcement learning in VANET. - Xin Chen; Tao Zhang 055; Sheng Shen 005; Tianqing Zhu; Ping Xiong 001 (Comput. Secur., 2021)

A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries. - Dayong Ye; Tianqing Zhu; Sheng Shen 005; Wanlei Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2021)

From distributed machine learning to federated learning: In the view of data privacy and security. - Sheng Shen 005; Tianqing Zhu; Di Wu 050; Wei Wang; Wanlei Zhou 001 (Concurr. Comput. Pract. Exp., 2022)

A novel differentially private advising framework in cloud server environment. - Sheng Shen 005; Tianqing Zhu; Dayong Ye; Minghao Wang; Xuhan Zuo; Andi Zhou (Concurr. Comput. Pract. Exp., 2022)

Differentially Private Multi-Agent Planning for Logistic-Like Problems. - Dayong Ye; Tianqing Zhu; Sheng Shen 005; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Dependable Secur. Comput., 2022)

One Parameter Defense - Defending Against Data Inference Attacks via Differential Privacy. - Dayong Ye; Sheng Shen 005; Tianqing Zhu; Bo Liu 001; Wanlei Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2022)

Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation. - Chi Liu 002; Tianqing Zhu; Sheng Shen 005; Wanlei Zhou 001 (IJCAI, 2023)

Wireless Decentralized Federated Learning with Energy-Constrained Clients. - Sili Wu; Sheng Shen 005; Phee Lep Yeoh; Teng Joon Lim (WF-IoT, 2023)

New challenges in reinforcement learning: a survey of security and privacy. - Yunjiao Lei; Dayong Ye; Sheng Shen 005; Yulei Sui; Tianqing Zhu; Wanlei Zhou 001 (Artif. Intell. Rev., 2023)

Reinforcement Unlearning. - Dayong Ye; Tianqing Zhu; Congcong Zhu; Derui Wang; Jason Xue 002; Sheng Shen 005; Wanlei Zhou 001 (CoRR, 2023)

Multi-Agent Reinforcement Learning for Online Food Delivery with Location Privacy Preservation. - Suleiman Abahussein; Dayong Ye; Congcong Zhu; Zishuo Cheng; Umer Siddique; Sheng Shen 005 (Inf., 2023)

Federated Multi-Agent Reinforcement Learning for Heterogeneous Action Spaces. - Sheng Shen 005; Teng Joon Lim (VTC Spring, 2024)

A GNN-based teacher-student framework with multi-advice. - Yunjiao Lei; Dayong Ye; Congcong Zhu; Sheng Shen 005; Wanlei Zhou 001; Tianqing Zhu (Expert Syst. Appl., 2024)

Privacy preservation in deep reinforcement learning: A training perspective. - Sheng Shen 005; Dayong Ye; Tianqing Zhu; Wanlei Zhou 001 (Knowl. Based Syst., 2024)

Federated Learning With Heterogeneous Client Expectations: A Game Theory Approach. - Sheng Shen 005; Chi Liu 002; Teng Joon Lim (IEEE Trans. Knowl. Data Eng., 2024)

Reinforcement Unlearning. - Dayong Ye; Tianqing Zhu; Congcong Zhu; Derui Wang; Kun Gao 006; Zewei Shi; Sheng Shen 005; Wanlei Zhou 001; Minhui Xue 001 (NDSS, 2025)