A Learning-based Incentive Mechanism for Mobile AIGC Service in Decentralized Internet of Vehicles. - Jiani Fan; Minrui Xu; Ziyao Liu; Huanyi Ye; Chaojie Gu; Dusit Niyato; Kwok-Yan Lam (VTC Fall, 2023)

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation. - Yu Jiang; Xindi Tong; Ziyao Liu; Huanyi Ye; Chee-Wei Tan 001; Kwok-Yan Lam (IEEE Big Data, 2024)

Malicious Unlearning in Ensemble Models. - Huanyi Ye; Ziyao Liu; Yu Jiang; Jiale Guo; Kwok-Yan Lam (PST, 2024)

Threats, Attacks, and Defenses in Machine Unlearning: A Survey. - Ziyao Liu; Huanyi Ye; Chen Chen 037; Kwok-Yan Lam (CoRR, 2024)

Enhancing AI safety of machine unlearning for ensembled models. - Huanyi Ye; Jiale Guo; Ziyao Liu; Yu Jiang; Kwok-Yan Lam (Appl. Soft Comput., 2025)

Threats, Attacks, and Defenses in Machine Unlearning: A Survey. - Ziyao Liu; Huanyi Ye; Chen Chen 115; Yongsen Zheng; Kwok-Yan Lam (IEEE Open J. Comput. Soc., 2025)

Privacy-Preserving Federated Unlearning With Certified Client Removal. - Ziyao Liu; Huanyi Ye; Yu Jiang; Jiyuan Shen; Jiale Guo; Ivan Tjuawinata; Kwok-Yan Lam (IEEE Trans. Inf. Forensics Secur., 2025)