Tuan-Anh Bui

Machine Learning Researcher in Generative AI and Trustworthy Machine Learning


Me happy when getting sh*t done :D

I am Research Fellow at the Department of Data Science and AI, Monash University. My research interest lies in the intersection between Generative AI and Trustworthy Machine Learning. For example, my research focuses on how to ensure that models like ChatGPT do not respond to harmful queries asking to create a bomb, or that models like Stable Diffusion do not generate sexual images. I got my Ph.D. from Monash University in November 2023, under the supervision of Prof. Dinh Phung and Dr. Trung Le. My thesis can be found here.

Before that, I had one year working as Research Engineer at Credit AI Lab, Trusting Social, and two years working as Research Assistant at Singapore University of Technology and Design with Prof. Ngai Man Cheung and Dr. Trung Tran.


Jul 5, 2024 Excited to participate the AI Safety, Ethics & Society Course by SafeAI. The course aims to provide a comprehensive introduction to how current AI systems work, why many experts are concerned that continued advances in AI may pose severe societal-scale risks, and how society can manage and mitigate these risks. Hope to learn more about AI Safety and apply it to my research. :smile:
Jun 28, 2024 I am thrilled and proud to see the Trustworthy Machine Learning project, on which I have been a key contributor since my PhD, being extended to a new 3-year project funded by the Department of Defense, Australia. The project will focus on various aspects of Trustworthy Generative Models, including alignment, safety, and robustness. This project is not only the first major grant on Generative AI in our DSAI department but also across the entire FIT at Monash University. 🎉 🎉 🎉
Jun 1, 2024 Proudly to share our new paper “Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation” and its slides. Hope you enjoy it and our reviewers will gentle with it. :joy:
Nov 1, 2023 I officially become a Dr. today! My thesis “Enhancing Adversarial Robustness: Representation, Ensemble, And Distribution Approaches” is available here. Today is also my wedding anniversary :joy: Hooray!
Sep 22, 2023 Our paper “Optimal Transport Model Distributional Robustness” has been accepted to NeurIPS 2023! 🎉 (led by Van-Anh Nguyen)

latest posts

selected publications


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    Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation
    Tuan-Anh Bui, Vuong Long, Khanh Doan, and 4 more authors
    Preprint, 2024
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    Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts
    Tuan-Anh Bui*, Khanh Doan*, Trung Le, and 3 more authors
    Preprint, 2024
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    Diversity-Aware Agnostic Ensemble of Sharpness Minimizers
    Tuan-Anh Bui*, Vy Vo*, Tung Pham, and 2 more authors
    Preprint, 2024
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    Optimal transport model distributional robustness
    Van-Anh Nguyen, Trung Le, Tuan-Anh Bui, and 2 more authors
    Advances in Neural Information Processing Systems, 2024


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    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, 2023


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    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


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    Understanding and achieving efficient robustness with adversarial supervised contrastive learning
    Tuan-Anh Bui, Trung Le, He Zhao, and 3 more authors
    arXiv preprint arXiv:2101.10027, 2021


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    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, 2020


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    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


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    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