FL-PATE: Differentially Private Federated Learning with Knowledge Transfer. - Yanghe Pan; Jianbing Ni; Zhou Su (GLOBECOM, 2021)

Personalized Privacy-Preserving Federated Learning: Optimized Trade-off Between Utility and Privacy. - Jinhao Zhou; Zhou Su; Jianbing Ni; Yuntao Wang 004; Yanghe Pan; Rui Xing 001 (GLOBECOM, 2022)

Privacy-Preserving Trainer Recruitment in Model Marketplace of Federated Learning. - Yanghe Pan; Zhou Su; Yuntao Wang 004 (DASC/PiCom/CBDCom/CyberSciTech, 2023)

Trade Privacy for Utility: A Learning-Based Privacy Pricing Game in Federated Learning. - Yuntao Wang 004; Zhou Su; Yanghe Pan; Abderrahim Benslimane; Yiliang Liu; Tom H. Luan; Ruidong Li 001 (ICC, 2023)

A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions. - Yuntao Wang 004; Yanghe Pan; Miao Yan; Zhou Su; Tom H. Luan (IEEE Open J. Comput. Soc., 2023)

TRACEGADGET: Detecting and Tracing Network Level Attack Through Federal Provenance Graph. - Han Liu; Yuntao Wang 004; Zhou Su; Zixuan Wang; Yanghe Pan; Ruidong Li 001 (ICC, 2024)

Toward Privacy-Aware Efficient Federated Graph Attention Network in Smart Cloud. - Jinhao Zhou; Zhou Su; Yuntao Wang 004; Yanghe Pan; Qianqian Pan; Lizheng Liu; Jun Wu 001 (SmartCloud, 2024)

Large Model Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends. - Yuntao Wang 004; Yanghe Pan; Quan Zhao; Yi Deng; Zhou Su; Linkang Du; Tom H. Luan (CoRR, 2024)

Privacy-Preserving Heterogeneous Personalized Federated Learning With Knowledge. - Yanghe Pan; Zhou Su; Jianbing Ni; Yuntao Wang 004; Jinhao Zhou (IEEE Trans. Netw. Sci. Eng., 2024)

Social-Aware Clustered Federated Learning With Customized Privacy Preservation. - Yuntao Wang 004; Zhou Su; Yanghe Pan; Tom H. Luan; Ruidong Li 001; Shui Yu 001 (IEEE/ACM Trans. Netw., 2024)

Privacy-Enhanced and Efficient Federated Knowledge Transfer Framework in IoT. - Yanghe Pan; Zhou Su; Yuntao Wang 004; Ruidong Li 001; Yuan Wu 001 (IEEE Internet Things J., 2024)

Protecting Your Attention During Distributed Graph Learning: Efficient Privacy-Preserving Federated Graph Attention Network. - Jinhao Zhou; Jun Wu 001; Jianbing Ni; Yuntao Wang 004; Yanghe Pan; Zhou Su (IEEE Trans. Inf. Forensics Secur., 2025)

Internet of Agents: Fundamentals, Applications, and Challenges. - Yuntao Wang 004; Shaolong Guo; Yanghe Pan; Zhou Su; Fahao Chen; Tom H. Luan; Peng Li 017; Jiawen Kang 001; Dusit Niyato (CoRR, 2025)

Security of Internet of Agents: Attacks and Countermeasures. - Yuntao Wang 004; Yanghe Pan; Shaolong Guo; Zhou Su (CoRR, 2025)

Knowledge-Aware Privacy-Preserving Model Customization in Zero-Trust Federated Learning Model Marketplaces. - Yanghe Pan; Zhou Su; Yuntao Wang 004; Han Liu; Ruidong Li 001; Abderrahim Benslimane (IEEE J. Sel. Areas Commun., 2025)

Privacy-Preserving Byzantine-Robust Federated Learning via Deep Reinforcement Learning in Vehicular Networks. - Yanghe Pan; Zhou Su; Yuntao Wang 004; Jinhao Zhou; Mohamed Mahmoud 001 (IEEE Trans. Veh. Technol., 2025)

Cloud-Edge Collaborative Large Model Services: Challenges and Solutions. - Yanghe Pan; Zhou Su; Yuntao Wang 004; Shaolong Guo; Han Liu; Ruidong Li 001; Yuan Wu 001 (IEEE Netw., 2025)