Zihang Xiang

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 8

Top Topics

Parameter Tuning

Privacy Preserving

Nodes Of A Graph

Top Venues

Proc. ACM Manag. Data

Publications

Cheng-Long Wang, Qi Li, Zihang Xiang, Di Wang
Has Approximate Machine Unlearning been evaluated properly? From Auditing to Side Effects. CoRR (2024)
Zihang Xiang, Chenglong Wang, Di Wang
How Does Selection Leak Privacy: Revisiting Private Selection and Improved Results for Hyper-parameter Tuning. CoRR (2024)
Zihang Xiang, Tianhao Wang, Wanyu Lin, Di Wang
Practical Differentially Private and Byzantine-resilient Federated Learning. CoRR (2023)
Zihang Xiang, Tianhao Wang, Wanyu Lin, Di Wang
Practical Differentially Private and Byzantine-resilient Federated Learning. Proc. ACM Manag. Data 1 (2) (2023)
Hanshen Xiao, Zihang Xiang, Di Wang, Srinivas Devadas
A Theory to Instruct Differentially-Private Learning via Clipping Bias Reduction. SP (2023)
Hanpu Shen, Cheng-Long Wang, Zihang Xiang, Yiming Ying, Di Wang
Differentially Private Non-convex Learning for Multi-layer Neural Networks. CoRR (2023)
Zihang Xiang, Tianhao Wang, Di Wang
Preserving Node-level Privacy in Graph Neural Networks. CoRR (2023)
Lijie Hu, Zihang Xiang, Jiabin Liu, Di Wang
Privacy-preserving Sparse Generalized Eigenvalue Problem. AISTATS (2023)