Lee, Jaewook

15 publications

NeurIPS 2025 Multi-Class Support Vector Machine with Differential Privacy Jinseong Park, Yujin Choi, Jaewook Lee

ICML 2025 Provable Benefit of Random Permutations over Uniform Sampling in Stochastic Coordinate Descent Donghwa Kim, Jaewook Lee, Chulhee Yun

NeurIPS 2024 Are Self-Attentions Effective for Time Series Forecasting? Dongbin Kim, Jinseong Park, Jaewook Lee, Hoki Kim

AAAI 2024 Fair Sampling in Diffusion Models Through Switching Mechanism Yujin Choi, Jinseong Park, Hoki Kim, Jaewook Lee, Saerom Park

ICML 2024 Fundamental Benefit of Alternating Updates in Minimax Optimization Jaewook Lee, Hanseul Cho, Chulhee Yun

CVPR 2024 In-Distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification Jinseong Park, Yujin Choi, Jaewook Lee

ICML 2023 Differentially Private Sharpness-Aware Training Jinseong Park, Hoki Kim, Yujin Choi, Jaewook Lee

NeurIPS 2023 Fantastic Robustness Measures: The Secrets of Robust Generalization Hoki Kim, Jinseong Park, Yujin Choi, Jaewook Lee

IJCAI 2023 Fast and Differentially Private Fair Clustering Junyoung Byun, Jaewook Lee

ICML 2023 Implicit Jacobian Regularization Weighted with Impurity of Probability Output Sungyoon Lee, Jinseong Park, Jaewook Lee

ICML 2023 Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond Jaeyoung Cha, Jaewook Lee, Chulhee Yun

NeurIPS 2021 Parameter-Free HE-Friendly Logistic Regression Junyoung Byun, Woojin Lee, Jaewook Lee

NeurIPS 2021 Towards Better Understanding of Training Certifiably Robust Models Against Adversarial Examples Sungyoon Lee, Woojin Lee, Jinseong Park, Jaewook Lee

AAAI 2021 Understanding Catastrophic Overfitting in Single-Step Adversarial Training Hoki Kim, Woojin Lee, Jaewook Lee

NeurIPS 2020 Lipschitz-Certifiable Training with a Tight Outer Bound Sungyoon Lee, Jaewook Lee, Saerom Park