Peihua Mai

According to our database, Peihua Mai authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Privacy-Preserving Multiview Matrix Factorization for Recommender Systems.

Peihua Mai, Yan Pang

IEEE Trans. Artif. Intell., January, 2024

RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation.

Peihua Mai, Ran Yan, Yan Pang

CoRR, 2024

Teach Large Language Models to Forget Privacy.

Ran Yan, Yujun Li, Wenqian Li, Peihua Mai, Yan Pang, Yinchuan Li

CoRR, 2024

Split-and-Denoise: Protect large language model inference with local differential privacy.

Peihua Mai, Ran Yan, Zhe Huang, Youjia Yang, Yan Pang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Knowledge Graph Unlearning to Defend Language Model Against Jailbreak Attack.

Peihua Mai, Hao Jiang, Ran Yan, Youjia Yang, Zhe Huang, Yan Pang

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023

Vertical Federated Graph Neural Network for Recommender System.

Peihua Mai, Yan Pang

Proceedings of the International Conference on Machine Learning, 2023

2022

PrivMVMF: Privacy-Preserving Multi-View Matrix Factorization for Recommender Systems.

Peihua Mai, Yan Pang

CoRR, 2022