Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy. - Bonwoo Lee; Jeongyoun Ahn; Cheolwoo Park (NeurIPS, 2023)

Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{ "o}m Random Features. - Bonwoo Lee; Jeongyoun Ahn; Cheolwoo Park (NeurIPS, 2024)

Optimal differentially private kernel learning with random projection. - Bonwoo Lee; Cheolwoo Park; Jeongyoun Ahn (CoRR, 2025)