About me
Short introduction
I am currently a Ph.D. student at VinUniversity in Hanoi, Vietnam, working under the supervision of Prof. Kok-Seng Wong and co-supervision of Prof. Khoa D. Doan. I earned my B.S. degree in Computer Science from VNU - University of Engineering and Technology in Hanoi, Vietnam, in 2019. My research interests include Computer Vision and Trustworthy AI, with a particular focus on federated learning.
Teaching Assistant at VinUniversity
- List of courses include:
- Introduction to Programming (Fall 2022, Fall 2023)
- Object-oriented programming and Data Structures (Spring 2023)
- Computer Systems Programming (Spring 2022)
Teaching Assistant at VNU - University of Engineering and Technology
- List of courses include:
- Data Structures and Algorithms (Spring 2020)
- Introduction to Computer Programming Languages (Fall 2019, Fall 2020, and Fall 2021)
Research
My research interests include AI security, data security, and privacy, explainable and robust with a focus on federated learning. I am currently working on the project Privacy-Preserving, Robust, and Explainable Federated Learning Framework for Healthcare System funded by VinUni-Illinois Smart Health Center (VISHC).
Publications
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning
- Dung Thuy Nguyen, Tuan Minh Nguyen, Anh Tuan Tran, Khoa D. Doan, and Kok-Seng Wong. “IBA: Towards Irreversible Backdoor Attacks in Federated Learning.” Conference on Neural Information Processing Systems (2023).
- An Empirical Study of Federated Unlearning: Efficiency and Effectiveness
- Nguyen, Thai-Hung, Hong-Phuc Vu, Dung Thuy Nguyen, Tuan Minh Nguyen, Khoa D. Doan, and Kok-Seng Wong. “An Empirical Study of Federated Unlearning: Efficiency and Effectiveness.” In Proceedings of the 15th Asian Conference on Machine Learning (2023).
- Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions
- Nguyen, Thuy Dung, Tuan Nguyen, Phi Le Nguyen, Hieu H. Pham, Khoa Doan, and Kok-Seng Wong. “Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions.” Engineering Applications of Artificial Intelligence, arXiv preprint arXiv:2303.02213 (2023).
- Ensemble Learning of Myocardial Displacements for Myocardial Infarction Detection in Echocardiography
- Tuan Nguyen, Phi Nguyen, Dai Tran, Hung Pham, Quang Nguyen, Thanh Le, Hanh Van, Bach Do, Phuong Tran, Vinh Le, Thuy Nguyen, Long Tran, and Hieu Pham. “Ensemble Learning of Myocardial Displacements for Myocardial Infarction Detection in Echocardiography.” Frontiers in Cardiovascular Medicine, 2023.
- Fully Automated Machine Learning Pipeline for Echocardiogram Segmentation
- Thi Thuy Hang Duong, Tuan Nguyen Minh, Phi Nguyen Van, and Quoc Long Tran. “Fully Automated Machine Learning Pipeline for Echocardiogram Segmentation.” In 2021 13th International Conference on Knowledge and Systems Engineering (KSE), pp. 1-6. IEEE, 2021.