@article{bui2025mitigating,title={Mitigating Semantic Collapse in Generative Personalization with Test-Time Embedding Adjustment},author={Bui, Anh and Vu, Trang and Le, Trung and Kim, Junae and Abraham, Tamas and Omari, Rollin and Kaur, Amar and Phung, Dinh},journal={International Conference on Learning Representations (ICLR)},year={2026},url={https://arxiv.org/abs/2506.22685},}
Antibody: Strengthening Defense Against Harmful Fine-Tuning for Large Language Models via Attenuating Harmful Gradient Influence
Quoc Minh Nguyen, Trung Le, Jing Wu, and
2 more authors
@inproceedings{nguyenantibody,title={Antibody: Strengthening Defense Against Harmful Fine-Tuning for Large Language Models via Attenuating Harmful Gradient Influence},author={Nguyen, Quoc Minh and Le, Trung and Wu, Jing and Bui, Anh Tuan and Harandi, Mehrtash},journal={International Conference on Learning Representations (ICLR)},year={2026},url={https://arxiv.org/abs/2603.00498},}
Improving llm unlearning robustness via random perturbations
Dang Huu-Tien, Hoang Thanh-Tung, Anh Bui, and
3 more authors
Transactions on Machine Learning Research (TMLR), 2026
@article{huu2025improving,title={Improving llm unlearning robustness via random perturbations},author={Huu-Tien, Dang and Thanh-Tung, Hoang and Bui, Anh and Nguyen, Minh-Phuong and Nguyen, Le-Minh and Inoue, Naoya},journal={Transactions on Machine Learning Research (TMLR)},year={2026},url={https://arxiv.org/abs/2501.19202},}
2025
Fantastic Targets for Concept Erasure in Diffusion Models and Where to Find Them
Tuan-Anh Bui, Vu Trang, Vuong Long, and
4 more authors
International Conference on Learning Representations (ICLR), 2025
@article{bui2025adaptive,title={Fantastic Targets for Concept Erasure in Diffusion Models and Where to Find Them},author={Bui, Tuan-Anh and Trang, Vu and Long, Vuong and Le, Trung and Montague, Paul and Abraham, Tamas and Phung, Dinh},journal={International Conference on Learning Representations (ICLR)},year={2025},url={https://arxiv.org/abs/2501.18950},}
Hiding and Recovering Knowledge in Text-to-Image Diffusion Models via Learnable Prompts
Tuan-Anh Bui, Khanh Doan, Trung Le, and
3 more authors
@article{bui2024removing,title={Hiding and Recovering Knowledge in Text-to-Image Diffusion Models via Learnable Prompts},author={Bui, Tuan-Anh and Doan, Khanh and Le, Trung and Montague, Paul and Abraham, Tamas and Phung, Dinh},journal={ICLR 2025 DeLTa Workshop},year={2025},url={https://arxiv.org/abs/2403.12326},}
2024
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation
Tuan-Anh Bui, Vuong Long, Khanh Doan, and
4 more authors
Advances in Neural Information Processing Systems (NeurIPS), 2024
@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={Advances in Neural Information Processing Systems (NeurIPS)},year={2024},url={https://tuananhbui89.github.io/projects/adversarial-preservation},}
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},}
2023
Optimal transport model distributional robustness
Van-Anh Nguyen, Trung Le, Tuan-Anh Bui, and
2 more authors
Advances in Neural Information Processing Systems (NeurIPS), 2023
@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 (NeurIPS)},volume={36},year={2023},url={https://proceedings.neurips.cc/paper_files/paper/2023/hash/4b91825aec2ed35150f1d3e8fb195556-Abstract-Conference.html},}
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization
Tuan-Anh Bui, Trung Le, He Zhao, and
3 more authors
Transactions on Machine Learning Research (TMLR), 2023
@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 (TMLR)},issn={2835-8856},year={2023},url={https://arxiv.org/abs/2304.13229},}
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 (ICLR), 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 (ICLR)},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 (AISTATS), 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 (AISTATS)},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
In European Conference on Computer Vision (ECCV), 2020
@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 (ECCV)},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 (AAAI), 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 (AAAI)},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 (TIP)},volume={28},number={4},pages={1675--1690},year={2018},publisher={IEEE},}
