Privacy-preserving Sparse Generalized Eigenvalue Problem. - Lijie Hu; Zihang Xiang; Jiabin Liu; Di Wang 015 (AISTATS, 2023)

A Theory to Instruct Differentially-Private Learning via Clipping Bias Reduction. - Hanshen Xiao; Zihang Xiang; Di Wang 015; Srinivas Devadas (SP, 2023)

Differentially Private Non-convex Learning for Multi-layer Neural Networks. - Hanpu Shen; Cheng-Long Wang 003; Zihang Xiang; Yiming Ying; Di Wang 015 (CoRR, 2023)

Practical Differentially Private and Byzantine-resilient Federated Learning. - Zihang Xiang; Tianhao Wang 001; Wanyu Lin; Di Wang 015 (Proc. ACM Manag. Data, 2023)

Preserving Node-level Privacy in Graph Neural Networks. - Zihang Xiang; Tianhao Wang 001; Di Wang 015 (SP, 2024)

How Does Selection Leak Privacy: Revisiting Private Selection and Improved Results for Hyper-parameter Tuning. - Zihang Xiang; Cheng-Long Wang 003; Di Wang 015 (CoRR, 2024)

Has Approximate Machine Unlearning been evaluated properly? From Auditing to Side Effects. - Cheng-Long Wang 003; Qi Li; Zihang Xiang; Di Wang 015 (CoRR, 2024)

Nearly Optimal Rates of Privacy-Preserving Sparse Generalized Eigenvalue Problem. - Lijie Hu; Zihang Xiang; Jiabin Liu; Di Wang 015 (IEEE Trans. Knowl. Data Eng., 2024)

Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization. - Ruijia Zhang; Mingxi Lei; Meng Ding; Zihang Xiang; Jinhui Xu 001; Di Wang 015 (AAAI, 2025)

Privacy Audit as Bits Transmission: (Im)possibilities for Audit by One Run. - Zihang Xiang; Tianhao Wang 001; Di Wang 015 (CoRR, 2025)

Towards User-level Private Reinforcement Learning with Human Feedback. - Jiaming Zhang; Mingxi Lei; Meng Ding; Mengdi Li; Zihang Xiang; Difei Xu; Jinhui Xu 001; Di Wang 015 (CoRR, 2025)

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness. - Cheng-Long Wang 003; Qi Li; Zihang Xiang; Yinzhi Cao; Di Wang 015 (CoRR, 2025)

Differentially Private Sparse Linear Regression with Heavy-tailed Responses. - Xizhi Tian; Meng Ding; Touming Tao; Zihang Xiang; Di Wang (CoRR, 2025)

FlashDP: Private Training Large Language Models with Efficient DP-SGD. - Liangyu Wang; Junxiao Wang; Jie Ren; Zihang Xiang; David E. Keyes; Di Wang (CoRR, 2025)