Xiaojin Zhang

According to our database, Xiaojin Zhang authored at least 6 papers between 2023 and 2024.

Collaborative distances:

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

2024

Deciphering the Interplay between Local Differential Privacy, Average Bayesian Privacy, and Maximum Bayesian Privacy.

Xiaojin Zhang, Yulin Fei, Wei Chen

CoRR, 2024

Reinforcement Learning as a Catalyst for Robust and Fair Federated Learning: Deciphering the Dynamics of Client Contributions.

Jialuo He, Wei Chen, Xiaojin Zhang

CoRR, 2024

CauESC: A Causal Aware Model for Emotional Support Conversation.

Wei Chen, Hengxu Lin, Qun Zhang, Xiaojin Zhang, Xiang Bai, Xuanjing Huang, Zhongyu Wei

CoRR, 2024

2023

K-ESConv: Knowledge Injection for Emotional Support Dialogue Systems via Prompt Learning.

Wei Chen, Gang Zhao, Xiaojin Zhang, Xiang Bai, Xuanjing Huang, Zhongyu Wei

CoRR, 2023

Privacy in Large Language Models: Attacks, Defenses and Future Directions.

Haoran Li, Yulin Chen, Jinglong Luo, Yan Kang, Xiaojin Zhang, Qi Hu, Chunkit Chan, Yangqiu Song

CoRR, 2023

Toward the Tradeoffs Between Privacy, Fairness and Utility in Federated Learning.

Kangkang Sun, Xiaojin Zhang, Xi Lin, Gaolei Li, Jing Wang, Jianhua Li

Proceedings of the Emerging Information Security and Applications, 2023