@article{bui2024adversarial,title={Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation},author={Bui, Tuan-Anh and Long, Vuong and Doan, Khanh and Le, Trung and Montague, Paul and Abraham, Tamas and Phung, Dinh},journal={NeurIPS 2024},year={2024},url={https://tuananhbui89.github.io/projects/adversarial-preservation},}
Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts
Tuan-Anh Bui*, Khanh Doan*, Trung Le, and
3 more authors
@article{bui2024removing,title={Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts},author={Bui${*}$, Tuan-Anh and Doan${*}$, Khanh and Le, Trung and Montague, Paul and Abraham, Tamas and Phung, Dinh},journal={Preprint},year={2024},url={https://arxiv.org/abs/2403.12326},}
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers
Tuan-Anh Bui*, Vy Vo*, Tung Pham, and
2 more authors
@article{bui2024diversity,title={Diversity-Aware Agnostic Ensemble of Sharpness Minimizers},author={Bui${*}$, Tuan-Anh and Vo${*}$, Vy and Pham, Tung and Phung, Dinh and Le, Trung},journal={Preprint},year={2024},url={https://arxiv.org/abs/2403.13204},}
Optimal transport model distributional robustness
Van-Anh Nguyen, Trung Le, Tuan-Anh Bui, and
2 more authors
Advances in Neural Information Processing Systems, 2024
@article{nguyen2024optimal,title={Optimal transport model distributional robustness},author={Nguyen, Van-Anh and Le, Trung and Bui, Tuan-Anh and Do, Thanh-Toan and Phung, Dinh},journal={Advances in Neural Information Processing Systems},volume={36},year={2024},url={https://proceedings.neurips.cc/paper_files/paper/2023/hash/4b91825aec2ed35150f1d3e8fb195556-Abstract-Conference.html},}
2023
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization
Tuan-Anh Bui, Trung Le, He Zhao, and
3 more authors
@article{bui2023generating,title={Generating Adversarial Examples with Task Oriented Multi-Objective Optimization},author={Bui, Tuan-Anh and Le, Trung and Zhao, He and Tran, Quan and Montague, Paul and Phung, Dinh},journal={Transactions on Machine Learning Research},issn={2835-8856},year={2023},url={https://openreview.net/forum?id=2f81Q622ww},}
2022
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training
Tuan-Anh Bui, Trung Le, Quan Tran, and
2 more authors
In International Conference on Learning Representations, 2022
@inproceedings{bui2021unified,title={A Unified Wasserstein Distributional Robustness Framework for Adversarial Training},author={Bui, Tuan-Anh and Le, Trung and Tran, Quan and Zhao, He and Phung, Dinh},booktitle={International Conference on Learning Representations},year={2022},}
On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds
Trung Le, Tuan-Anh Bui, He Zhao, and
3 more authors
In International Conference on Artificial Intelligence and Statistics, 2022
@inproceedings{le2022global,title={On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds},author={Le, Trung and Bui, Tuan-Anh and Zhao, He and Montague, Paul and Tran, Quan and Phung, Dinh},booktitle={International Conference on Artificial Intelligence and Statistics},pages={11438--11460},year={2022},organization={PMLR},}
2021
Understanding and achieving efficient robustness with adversarial supervised contrastive learning
Tuan-Anh Bui, Trung Le, He Zhao, and
3 more authors
@article{bui2021understanding,title={Understanding and achieving efficient robustness with adversarial supervised contrastive learning},author={Bui, Tuan-Anh and Le, Trung and Zhao, He and Montague, Paul and Camtepe, Seyit and Phung, Dinh},journal={arXiv preprint arXiv:2101.10027},year={2021},}
2020
Improving adversarial robustness by enforcing local and global compactness
Tuan-Anh Bui, Trung Le, He Zhao, and
4 more authors
@inproceedings{bui2020improving,title={Improving adversarial robustness by enforcing local and global compactness},author={Bui, Tuan-Anh and Le, Trung and Zhao, He and Montague, Paul and deVel, Olivier and Abraham, Tamas and Phung, Dinh},booktitle={European Conference on Computer Vision},pages={209--223},year={2020},organization={Springer},}
2019
Improving GAN with neighbors embedding and gradient matching
Ngoc-Trung Tran*, Tuan-Anh Bui*, and Ngai-Man Cheung
In Proceedings of the AAAI conference on artificial intelligence, 2019
@inproceedings{tran2019improving,title={Improving GAN with neighbors embedding and gradient matching},author={Tran${*}$, Ngoc-Trung and Bui${*}$, Tuan-Anh and Cheung, Ngai-Man},booktitle={Proceedings of the AAAI conference on artificial intelligence},volume={33},number={01},pages={5191--5198},year={2019},}
2018
Dist-gan: An improved gan using distance constraints
Ngoc-Trung Tran, Tuan-Anh Bui, and Ngai-Man Cheung
In Proceedings of the European conference on computer vision (ECCV), 2018
@inproceedings{tran2018dist,title={Dist-gan: An improved gan using distance constraints},author={Tran, Ngoc-Trung and Bui, Tuan-Anh and Cheung, Ngai-Man},booktitle={Proceedings of the European conference on computer vision (ECCV)},pages={370--385},year={2018},}
On-device scalable image-based localization via prioritized cascade search and fast one-many ransac
Ngoc-Trung Tran, Dang-Khoa Le Tan, Anh-Dzung Doan, and
4 more authors
@article{tran2018device,title={On-device scalable image-based localization via prioritized cascade search and fast one-many ransac},author={Tran, Ngoc-Trung and Le Tan, Dang-Khoa and Doan, Anh-Dzung and Do, Thanh-Toan and Bui, Tuan-Anh and Tan, Mengxuan and Cheung, Ngai-Man},journal={IEEE Transactions on Image Processing},volume={28},number={4},pages={1675--1690},year={2018},publisher={IEEE},}
