An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks. - Giyoung Jeon; Haedong Jeong; Jaesik Choi (AAAI, 2020)

Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network. - Giyoung Jeon; Haedong Jeong; Jaesik Choi (NeurIPS, 2022)

On the Relationship Between Adversarial Robustness and Decision Region in Deep Neural Network. - Seongjin Park; Haedong Jeong; Giyoung Jeon; Jaesik Choi (CoRR, 2022)

Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling. - Giyoung Jeon; Haedong Jeong; Jaesik Choi (ICCV, 2023)

ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection. - Jeeho Hyun; Sangyun Kim; Giyoung Jeon; Seung Hwan Kim; Kyunghoon Bae; Byung Jun Kang (WACV, 2024)