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Research interests
Differential privacy, Synthetic data, High-dimensional statistics, kernel methods…
I am interested in implementing a privacy protecting machine learning algorithm and evaluating their performance. Also, the unique phenomena occuring in high-dimensional data analysis is another interest.
Hobby
I am currently interested in mystery novel and science fiction. My current favorite mystery novel is the museum of tricks by the seiichirō Ōyama.
Preprints
- Optimal differentially private kernel learning with random projection Bonwoo Lee, Jeongyoun Ahn, Cheolwoo Park
Publications
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Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy Bonwoo Lee, Jeongyoun Ahn, Cheolwoo Park Advances in Neural Information Processing Systems 36 (NeurIPS 2023)
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Differential Privacy in Scalable General Kernel Learning via $K$-means Nyström Random Features Bonwoo Lee, Jeongyoun Ahn, Cheolwoo Park Advances in Neural Information Processing Systems 37 (NeurIPS 2024)
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Locally Optimal Private Sampling: Beyond the Global Minimax Hrad Ghoukasian, Bonwoo Lee, Shahab Asoodeh Advances in Neural Information Processing Systems 38 (NeurIPS 2025)
TA
2023 Fall. Mathematical Statistics, Applied analysis.
2023 Spring. Linear algebra, Probability and statistics.
2023 Fall. Calculus II.
Prizes
Selected as Top Reviewer in NeurIPS 2025
2024 KAIST Q-Day Special Student Award
2024 KAIST Graduate Student Outstanding Paper Awards
2023 Korean statistical society Paper session encouragement prize
2023 Fall Korean mathematical society Poster session top prize
2023 Fall URP (Undergraduate Research Program) excellence prize