| Distilling robust and non-robust features in adversarial examples by information bottleneck J Kim*, BK Lee*, YM Ro Advances in Neural Information Processing Systems 34, 17148-17159, 2021 | 32 | 2021 |
| Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network BK Lee*, J Kim*, YM Ro Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 11 | 2022 |
| Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression J Kim*, BK Lee*, YM Ro Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Causal unsupervised semantic segmentation J Kim*, BK Lee*, YM Ro arXiv preprint arXiv:2310.07379, 2023 | 5 | 2023 |
| Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning BK Lee*, J Kim*, YM Ro Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| Mitigating Dataset Bias in Image Captioning Through Clip Confounder-Free Captioning Network Y Kim, J Kim, BK Lee, S Shin, YM Ro 2023 IEEE International Conference on Image Processing (ICIP), 1720-1724, 2023 | 2 | 2023 |
| CoLLaVO: Crayon Large Language and Vision mOdel BK Lee, B Park, CW Kim, YM Ro arXiv preprint arXiv:2402.11248, 2024 | 1 | 2024 |
| Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational Inference BK Lee, Y Yu, YM Ro OpenReview, 2020 | 1 | 2020 |
| MoAI: Mixture of All Intelligence for Large Language and Vision Models BK Lee, B Park, CW Kim, YM Ro arXiv preprint arXiv:2403.07508, 2024 | | 2024 |
| Training encoder-attention through fully-connected CRFs for efficient end-to-end lane detection model BK Lee Korea Advanced Institute of Science Technology (KAIST), 2020 | | 2020 |
Yong Man RoProfessor of Electrical Engineering, KAISTDirección de correo verificada de kaist.ac.kr
