Lee, HyunGyu

9 publications

JMLR 2025 Regularizing Hard Examples Improves Adversarial Robustness Hyungyu Lee, Saehyung Lee, Ho Bae, Sungroh Yoon

ICCV 2025 UDC-VIT: A Real-World Video Dataset for Under-Display Cameras Kyusu Ahn, JiSoo Kim, Sangik Lee, HyunGyu Lee, Byeonghyun Ko, Chanwoo Park, Jaejin Lee

ICLR 2024 DAFA: Distance-Aware Fair Adversarial Training Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon

JMLR 2024 Sample-Efficient Adversarial Imitation Learning Dahuin Jung, Hyungyu Lee, Sungroh Yoon

WACV 2023 Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training Saehyung Lee, Hyungyu Lee

NeurIPS 2023 UDC-SIT: A Real-World Dataset for Under-Display Cameras Kyusu Ahn, Byeonghyun Ko, HyunGyu Lee, Chanwoo Park, Jaejin Lee

NeurIPSW 2022 Sample-Efficient Adversarial Imitation Learning Dahuin Jung, Hyungyu Lee, Sungroh Yoon

ICLR 2022 Stein Latent Optimization for Generative Adversarial Networks Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon

ICLR 2021 Removing Undesirable Feature Contributions Using Out-of-Distribution Data Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon