| Improving the transferability of targeted adversarial examples through object-based diverse input J Byun, S Cho, MJ Kwon, HS Kim, C Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 51 | 2022 |
| Dapas: Denoising autoencoder to prevent adversarial attack in semantic segmentation S Cho, TJ Jun, B Oh, D Kim 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 36 | 2020 |
| Applying tensor decomposition to image for robustness against adversarial attack S Cho, TJ Jun, M Kang, D Kim arXiv preprint arXiv:2002.12913, 2020 | 4 | 2020 |
| CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification M Kang, TQ Tran, S Cho, D Kim 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 2 | 2021 |
| Adaptive Warping Network for Transferable Adversarial Attacks M Son, MJ Kwon, HS Kim, J Byun, S Cho, C Kim 2022 IEEE International Conference on Image Processing (ICIP), 2022 | 1 | 2022 |
| Exploiting Doubly Adversarial Examples for Improving Adversarial Robustness J Byun, H Go, S Cho, C Kim 2022 IEEE International Conference on Image Processing (ICIP), 2022 | | 2022 |
| Adversarial Training with Channel Attention Regularization S Cho, J Byun, MJ Kwon, Y Kim, C Kim 2022 IEEE International Conference on Image Processing (ICIP), 2022 | | 2022 |
