Haoyang Li

According to our database, Haoyang Li authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

IDDM: Identity-Decoupled Personalized Diffusion Models with a Tunable Privacy-Utility Trade-off.

Linyan Dai, Xinwei Zhang, Haoyang Li, Qingqing Ye, Haibo Hu

CoRR, April, 2026

Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks.

Yaxin Xiao, Qingqing Ye, Zi Liang, Haoyang Li, Ronghua Li, Huadi Zheng, Haibo Hu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Membership Inference Attacks and Defenses in Federated Learning: A Survey.

Li Bai, Haibo Hu, Qingqing Ye, Haoyang Li, Leixia Wang, Jianliang Xu

ACM Comput. Surv., April, 2025

Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy.

Yaxin Xiao, Qingqing Ye, Li Hu, Huadi Zheng, Haibo Hu, Zi Liang, Haoyang Li, Yijie Jiao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift.

Jiamin Chang, Haoyang Li, Hammond Pearce, Ruoxi Sun, Bo Li, Minhui Xue

Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025

A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks.

Haoyang Li, Li Bai, Qingqing Ye, Haibo Hu, Yaxin Xiao, Huadi Zheng, Jianliang Xu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models.

Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Haoyang Li

CoRR, 2024

2023

3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning.

Haoyang Li, Qingqing Ye, Haibo Hu, Jin Li, Leixia Wang, Chengfang Fang, Jie Shi

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023