Tuan-Anh Bui

Machine Learning Researcher in Generative AI and Trustworthy Machine Learning


Me in Singapore, 2018

I am Research Fellow at the Department of Data Science and AI, Monash University, working with Prof. Dinh Phung and Dr. Trung Le. At this moment, I am still a Ph.D. student at the Faculty of Information Technology, Monash University, waiting for the thesis examination. My research interests are Generative AI (i.e., how to generate realistic data) and Trustworthy Machine Learning especially Adversarial Machine Learning (i.e., understanding ML models’s behaviour and making them more robust against the changing of data).

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.

I am actively looking for an opportunity for Research Engineer/Scientist position in the industry. Please refer to my CV and reach out if you think I am a good fit.


Sep 23, 2023 Our paper “Optimal Transport Model Distributional Robustness” has been accepted to NeurIPS 2023! 🎉 (led by Van-Anh Nguyen)
Jun 24, 2023 Presenting “Exploring Controllability of Conditioned Diffusion Models” at prof. Gemma Roig’s lab under the Postdoc-NeT-AI program. Slide.
Jun 8, 2023 Finally, I submit my Ph.D. thesis for examination. Phew!
Apr 13, 2023 I have been awarded a DAAD AInet fellowship
Apr 2, 2023 Presenting “Holistic View of Adversarial Machine Learning” at our lab meeting. Slide

latest posts

selected publications


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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