Na, Dongbin

8 publications

AAAI 2025 Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-Off Between Model Utility and Forgetting Dasol Choi, Dongbin Na

CVPRW 2024 DMR: Disentangling Marginal Representations for Out-of-Distribution Detection Dasol Choi, Dongbin Na

ECCVW 2024 Self-Accumulative Vision Transformer for Bone Age Assessment Using the Sauvegrain Method Hongjun Choi, Dongbin Na, Kyungjin Cho, Byunguk Bae, Seo Taek Kong, Hyunjoon Ahn, Sungchul Choi, Jaeyoung Kim

CVPRW 2024 Towards Efficient Machine Unlearning with Data Augmentation: Guided Loss-Increasing (GLI) to Prevent the Catastrophic Model Utility Drop Dasol Choi, Soora Choi, Eunsun Lee, Jinwoo Seo, Dongbin Na

AAAI 2023 Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection Jaeyoung Kim, Seo Taek Kong, Dongbin Na, Kyu-Hwan Jung

NeurIPSW 2023 KoMultiText: Large-Scale Korean Text Dataset for Classifying Biased Speech in Real-World Online Services Dasol Choi, Jooyoung Song, Eunsun Lee, Seo Jin Woo, HeeJune Park, Dongbin Na

NeurIPS 2022 A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity Seo Taek Kong, Soomin Jeon, Dongbin Na, Jaewon Lee, Hong-Seok Lee, Kyu-Hwan Jung

ECCVW 2022 Unrestricted Black-Box Adversarial Attack Using GAN with Limited Queries Dongbin Na, Sangwoo Ji, Jong Kim