| Adversarial vertex mixup: Toward better adversarially robust generalization S Lee, H Lee, S Yoon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 134 | 2020 |
| Security and privacy issues in deep learning H Bae, J Jang, D Jung, H Jang, H Ha, H Lee, S Yoon arXiv preprint arXiv:1807.11655, 2018 | 101 | 2018 |
| Removing undesirable feature contributions using out-of-distribution data S Lee, C Park, H Lee, J Yi, J Lee, S Yoon arXiv preprint arXiv:2101.06639, 2021 | 24 | 2021 |
| Gradient masking of label smoothing in adversarial robustness H Lee, H Bae, S Yoon IEEE Access 9, 6453-6464, 2020 | 20 | 2020 |
| Stein latent optimization for generative adversarial networks U Hwang, H Kim, D Jung, H Jang, H Lee, S Yoon arXiv preprint arXiv:2106.05319, 2021 | 3 | 2021 |
| Inducing data amplification using auxiliary datasets in adversarial training S Lee, H Lee Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 2 | 2023 |
| Sample-efficient Adversarial Imitation Learning D Jung, H Lee, S Yoon Journal of Machine Learning Research 25 (31), 1-32, 2024 | 1 | 2024 |
| DAFA: Distance-Aware Fair Adversarial Training H Lee, S Lee, H Jang, J Park, H Bae, S Yoon arXiv preprint arXiv:2401.12532, 2024 | | 2024 |
