From distributed machine learning to federated learning: In the view of data privacy and security S Shen, T Zhu, D Wu, W Wang, W Zhou Concurrency and Computation: Practice and Experience 34 (16), e6002, 2022 | 75 | 2022 |
One parameter defense—defending against data inference attacks via differential privacy D Ye, S Shen, T Zhu, B Liu, W Zhou IEEE Transactions on Information Forensics and Security 17, 1466-1480, 2022 | 47 | 2022 |
A differentially private game theoretic approach for deceiving cyber adversaries D Ye, T Zhu, S Shen, W Zhou IEEE Transactions on Information Forensics and Security 16, 569-584, 2020 | 42 | 2020 |
An optimized differential privacy scheme with reinforcement learning in VANET X Chen, T Zhang, S Shen, T Zhu, P Xiong Computers & Security 110, 102446, 2021 | 21 | 2021 |
Differentially private multi-agent planning for logistic-like problems D Ye, T Zhu, S Shen, W Zhou, SY Philip IEEE transactions on dependable and secure computing 19 (2), 1212-1226, 2020 | 21 | 2020 |
Model poisoning defense on federated learning: A validation based approach Y Wang, T Zhu, W Chang, S Shen, W Ren International Conference on Network and System Security, 207-223, 2020 | 15 | 2020 |
New challenges in reinforcement learning: a survey of security and privacy Y Lei, D Ye, S Shen, Y Sui, T Zhu, W Zhou Artificial Intelligence Review 56 (7), 7195-7236, 2023 | 10 | 2023 |
A novel differentially private advising framework in cloud server environment S Shen, T Zhu, D Ye, M Wang, X Zuo, A Zhou Concurrency and Computation: Practice and Experience 34 (7), e5932, 2022 | 4 | 2022 |
Differential privacy preservation for smart meter systems J Wu, W Qiang, T Zhu, H Jin, P Xu, S Shen Algorithms and Architectures for Parallel Processing: 19th International …, 2020 | 4 | 2020 |
Simultaneously advising via differential privacy in cloud servers environment S Shen, T Zhu, D Ye, M Yang, T Liao, W Zhou Algorithms and Architectures for Parallel Processing: 19th International …, 2020 | 3 | 2020 |
Reinforcement unlearning D Ye, T Zhu, C Zhu, D Wang, S Shen, W Zhou arXiv preprint arXiv:2312.15910, 2023 | 2 | 2023 |
Multi-Agent Reinforcement Learning for Online Food Delivery with Location Privacy Preservation S Abahussein, D Ye, C Zhu, Z Cheng, U Siddique, S Shen Information 14 (11), 597, 2023 | 2 | 2023 |
Towards robust gan-generated image detection: a multi-view completion representation C Liu, T Zhu, S Shen, W Zhou arXiv preprint arXiv:2306.01364, 2023 | 2 | 2023 |
Differential Privacy in Reinforcement Learning S Shen PQDT-Global, 2022 | 1 | 2022 |
A GNN-based teacher–student framework with multi-advice Y Lei, D Ye, C Zhu, S Shen, W Zhou, T Zhu Expert Systems with Applications 250, 123887, 2024 | | 2024 |
Wireless Decentralized Federated Learning with Energy-Constrained Clients S Wu, S Shen, PL Yeoh, TJ Lim 2023 IEEE 9th World Forum on Internet of Things (WF-IoT), 01-06, 2023 | | 2023 |
A2FC: A FEDERATED ADVANTAGE ACTOR-CRITIC LEARNING APPROACH FOR HETEROGENEOUS ACTION SPACES S Shen, TJ Lim | | |