| Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries D Na, S Ji, J Kim ECCV 2022 Workshop on Adversarial Robustness in the Real World: Tel Aviv …, 2023 | 9 | 2023 |
| A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity ST Kong, S Jeon, D Na, J Lee, HS Lee, KH Jung Advances in Neural Information Processing Systems, NeurIPS 2022, 2022 | 6 | 2022 |
| Towards machine unlearning benchmarks: Forgetting the personal identities in facial recognition systems D Choi, D Na arXiv preprint arXiv:2311.02240, 2023 | 5 | 2023 |
| CAPTCHAs are still in danger: An efficient scheme to bypass adversarial CAPTCHAs D Na, N Park, S Ji, J Kim Information Security Applications: 21st International Conference, WISA 2020 …, 2020 | 5 | 2020 |
| Bag of Tricks for In-Distribution Calibration of Pretrained Transformers J Kim, D Na, S Choi, S Lim European Chapter of the Association for Computational Linguistics, EACL 2023, 2023 | 3 | 2023 |
| Problem-solving guide: Predicting the algorithm tags and difficulty for competitive programming problems J Kim, E Cho, D Kim, D Na arXiv preprint arXiv:2310.05791, 2023 | 2 | 2023 |
| Towards Reliable AI Model Deployments: Multiple Input Mixup for Out-of-Distribution Detection D Choi, D Na arXiv preprint arXiv:2312.15514, 2023 | 1 | 2023 |
| HOD: A Benchmark Dataset for Harmful Object Detection E Ha, H Kim, SC Hong, D Na arXiv preprint arXiv:2310.05192, 2023 | 1 | 2023 |
| Large-Scale Korean Text Dataset for Classifying Biased Speech in Real-World Online Services D Choi, J Song, E Lee, J Seo, H Park, D Na NeurIPS 2023 workshop on Socially Responsible Language Modelling Research …, 2023 | 1 | 2023 |
| Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection J Kim, ST Kong, D Na, KH Jung Association for the Advancement of Artificial Intelligence, AAAI 2023, 2022 | 1 | 2022 |
| DMR: Disentangling Marginal Representations for Out-of-Distribution Detection D Choi, D Na Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Towards Efficient Machine Unlearning with Data Augmentation: Guided Loss-Increasing (GLI) to Prevent the Catastrophic Model Utility Drop D Choi, S Choi, E Lee, J Seo, D Na Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| HOD: New Harmful Object Detection Benchmarks for Robust Surveillance E Ha, H Kim, D Na Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| A New Korean Text Classification Benchmark for Recognizing the Political Intents in Online Newspapers B Kim, E Lee, D Na arXiv preprint arXiv:2311.01712, 2023 | | 2023 |
| New Benchmarks for Asian Facial Recognition Tasks: Face Classification with Large Foundation Models J Seo, S Choi, E Ha, B Kim, D Na arXiv preprint arXiv:2310.09756, 2023 | | 2023 |
| KoMultiText: Large-Scale Korean Text Dataset for Classifying Biased Speech in Real-World Online Services D Choi, J Song, E Lee, HJ Park, D Na Socially Responsible Language Modelling Research, 2023 | | 2023 |
| Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers J Kim, K Jung, D Na, S Jang, E Park, S Choi Findings of the Association for Computational Linguistics: ACL 2023, 2023 | | 2023 |
| Self-accumulative Vision Transformer for Bone Age Assessment Using the Sauvegrain Method HJ Choi, D Na, K Cho, B Bae, ST Kong, H An arXiv preprint arXiv:2303.16557, 2023 | | 2023 |
| Defending against attacks tailored to transfer learning via feature distancing S Ji, N Park, D Na, B Zhu, J Kim Computer Vision and Image Understanding (CVIU) 223, 103533, 2022 | | 2022 |
| 랜섬웨어 피해 복원을 위한 P2P 디스크 복원 방법 및 장치 김종， 지상우， 김한준， 이경민， 김태훈， 나동빈 KR Patent 10-2,433,435, 2022 | | 2022 |
Jong KimProfessor of Computer Science, POSTECHVerified email at postech.ac.kr
