Weighted Distributed Differential Privacy ERM: Convex and Non-convex. - Yilin Kang 002; Yong Liu 018; Weiping Wang 005 (CoRR, 2019)

Input Perturbation: A New Paradigm between Central and Local Differential Privacy. - Yilin Kang 002; Yong Liu 018; Ben Niu 001; Xinyi Tong 001; Likun Zhang; Weiping Wang 005 (CoRR, 2020)

Differentially Private ERM Based on Data Perturbation. - Yilin Kang 002; Yong Liu 018; Lizhong Ding 001; Xinwang Liu 002; Xinyi Tong 001; Weiping Wang 005 (CoRR, 2020)

Weighted distributed differential privacy ERM: Convex and non-convex. - Yilin Kang 002; Yong Liu 018; Ben Niu 001; Weiping Wang 005 (Comput. Secur., 2021)

Differential Privacy for Pairwise Learning: Non-convex Analysis. - Yilin Kang 002; Yong Liu 018; Jian Li 040; Weiping Wang 005 (CoRR, 2021)

Sharper Utility Bounds for Differentially Private Models: Smooth and Non-smooth. - Yilin Kang 002; Yong Liu 018; Jian Li 040; Weiping Wang 005 (CIKM, 2022)

Stability and Generalization of Differentially Private Minimax Problems. - Yilin Kang 002; Yong Liu 018; Jian Li 040; Weiping Wang 005 (CoRR, 2022)

Sharper Utility Bounds for Differentially Private Models. - Yilin Kang 002; Yong Liu 018; Jian Li 040; Weiping Wang 005 (CoRR, 2022)

Data Heterogeneity Differential Privacy: From Theory to Algorithm. - Yilin Kang 002; Jian Li 040; Yong Liu 018; Weiping Wang 005 (ICCS (1), 2023)

Towards sharper excess risk bounds for differentially private pairwise learning. - Yilin Kang 002; Jian Li 040; Yong Liu 018; Weiping Wang 005 (Neurocomputing, 2024)