| Continual learning with extended kronecker-factored approximate curvature J Lee, HG Hong, D Joo, J Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 61 | 2020 |
| Residual continual learning J Lee, D Joo, HG Hong, J Kim Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4553-4560, 2020 | 23 | 2020 |
| Closing the loophole: Rethinking reconstruction attacks in federated learning from a privacy standpoint SH Na, HG Hong, J Kim, S Shin Proceedings of the 38th Annual Computer Security Applications Conference …, 2022 | 11 | 2022 |
| Rethinking efficacy of softmax for lightweight non-local neural networks Y Cho, Y Kim, H Cho, J Ahn, HG Hong, J Kim 2022 IEEE International Conference on Image Processing (ICIP), 1031-1035, 2022 | 5 | 2022 |
| Data poisoning attack aiming the vulnerability of continual learning G Han, J Choi, HG Hong, J Kim 2023 IEEE International Conference on Image Processing (ICIP), 1905-1909, 2023 | 3 | 2023 |
| Differentiable architecture search based on coordinate descent P Ahn, HG Hong, J Kim IEEE Access 9, 48544-48554, 2021 | 3 | 2021 |
| Edas: Efficient and differentiable architecture search HG Hong, P Ahn, J Kim arXiv preprint arXiv:1912.01237, 2019 | 3 | 2019 |
| Localization using multi-focal spatial attention for masked face recognition Y Cho, H Cho, HG Hong, J Ahn, D Cho, JW Chang, J Kim 2023 IEEE 17th International Conference on Automatic Face and Gesture …, 2023 | 2 | 2023 |
| Disposable transfer learning for selective source task unlearning S Koh, H Shon, J Lee, HG Hong, J Kim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| Foreseeing reconstruction quality of gradient inversion: An optimization perspective HG Hong, Y Cho, H Cho, J Ahn, J Kim Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12473 …, 2024 | 1 | 2024 |
| Training Time Adversarial Attack Aiming the Vulnerability of Continual Learning G Han, J Choi, HG Hong, J Kim NeurIPS ML Safety Workshop, 2022 | 1 | 2022 |
| De-biasing Neural Networks with Estimated Offset for Class Imbalanced Learning B Kim, HG Hong, J Kim Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | | 2021 |
| Foreseeing Privacy Threats from Gradient Inversion Through the Lens of Angular Lipschitz Smoothness HG Hong, Y Cho, H Cho, J Ahn, J Kim | | |
| MMRR: Unsupervised Anomaly Detection through Multi-Level Masking and Restoration with Refinement J Ahn, J Lee, H Cho, Y Cho, HG Hong, J Kim | | |
