| 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 | 135 | 2018 |
| 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 | 37 | 2022 |
| 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 | 35 | 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 | 26 | 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 | 19 | 2019 |
| 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 | 17 | 2021 |
| Global-local regularization via distributional robustness H Phan, T Le, T Phung, AT Bui, N Ho, D Phung International Conference on Artificial Intelligence and Statistics, 7644-7664, 2023 | 13 | 2023 |
| 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 | 10 | 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 | 7 | 2022 |
| Optimal transport model distributional robustness VA Nguyen, T Le, A Bui, TT Do, D Phung Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts A Bui, K Doan, T Le, P Montague, T Abraham, D Phung arXiv preprint arXiv:2403.12326, 2024 | 2 | 2024 |
| Generating adversarial examples with task oriented multi-objective optimization A Bui, T Le, H Zhao, Q Tran, P Montague, D Phung arXiv preprint arXiv:2304.13229, 2023 | 1 | 2023 |
| Connective Viewpoints of Signal-to-Noise Diffusion Models K Doan, LT Vuong, T Nguyen, AT Bui, Q Tran, TT Do, D Phung, T Le arXiv preprint arXiv:2408.04221, 2024 | | 2024 |
| Diversity-Aware Agnostic Ensemble of Sharpness Minimizers A Bui, V Vo, T Pham, D Phung, T Le arXiv preprint arXiv:2403.13204, 2024 | | 2024 |
| Understanding and achieving efficient robustness with adversarial contrastive learning A Bui, T Le, H Zhao, P Montague, S Camtepe, D Phung arXiv preprint arXiv:2101.10027, 2021 | | 2021 |
Dinh PhungProfessor, Monash UniversityPotvrđena adresa e-pošte na monash.edu
