| 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 | 98 | 2018 |
| Puvae: A variational autoencoder to purify adversarial examples U Hwang, J Park, H Jang, S Yoon, NI Cho IEEE Access 7, 126582-126593, 2019 | 82 | 2019 |
| New insights for the stability-plasticity dilemma in online continual learning D Jung, D Lee, S Hong, H Jang, H Bae, S Yoon arXiv preprint arXiv:2302.08741, 2023 | 12 | 2023 |
| PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising H Jang, J Park, D Jung, J Lew, H Bae, S Yoon Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| 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 | 1 | 2021 |
| 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 |
| Supplementary Material PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising H Jang, J Park, D Jung, J Lew, H Bae, S Yoon | | |
