| Dist-gan: An improved gan using distance constraints NT Tran, TA Bui, NM Cheung Proceedings of the European conference on computer vision (ECCV), 370-385, 2018 | 85 | 2018 |
| On-device scalable image-based localization via prioritized cascade search and fast one-many ransac NT Tran, DK Le Tan, AD Doan, TT Do, TA Bui, M Tan, NM Cheung IEEE Transactions on Image Processing 28 (4), 1675-1690, 2018 | 30 | 2018 |
| Improving Adversarial Robustness by Enforcing Local and Global Compactness A Bui, T Le, H Zhao, P Montague, O deVel, T Abraham, D Phung European Conference on Computer Vision (ECCV), 2020, 2020 | 19 | 2020 |
| Improving GAN with neighbors embedding and gradient matching NT Tran, TA Bui, NM Cheung Proceedings of the AAAI conference on artificial intelligence 33 (01), 5191-5198, 2019 | 14 | 2019 |
| A unified Wasserstein distributional robustness framework for adversarial training TA Bui, T Le, Q Tran, H Zhao, D Phung arXiv preprint arXiv:2202.13437, 2022 | 9 | 2022 |
| Understanding and achieving efficient robustness with adversarial supervised contrastive learning A Bui, T Le, H Zhao, P Montague, S Camtepe, D Phung arXiv preprint arXiv:2101.10027, 2021 | 6 | 2021 |
| Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness A Bui, T Le, H Zhao, P Montague, O deVel, T Abraham, D Phung arXiv preprint arXiv:2009.09612, 2020 | 6 | 2020 |
| On global-view based defense via adversarial attack and defense risk guaranteed bounds T Le, AT Bui, H Zhao, P Montague, Q Tran, D Phung International Conference on Artificial Intelligence and Statistics, 11438-11460, 2022 | 4 | 2022 |
| Global-Local Regularization Via Distributional Robustness H Phan, T Le, T Phung, TA Bui, N Ho, D Phung arXiv preprint arXiv:2203.00553, 2022 | | 2022 |
| Understanding and achieving efficient robustness with adversarial contrastive learning A Bui, T Le, H Zhao, P Montague, S Camtepe, D Phung | | 2021 |
Dinh PhungProfessor, Monash UniversityVerified email at monash.edu
