Tuan Nguyen

I am currently a third-year Ph.D. student (2023–present) in a joint Ph.D. program between VinUniversity and the University of Illinois Urbana-Champaign (UIUC). I work at the Security and Artificial Intelligence Lab (SAIL) and the VinUni-Illinois Smart Health Center (VISHC), co-advised by Prof. Kok-Seng Wong and Prof. Khoa D. Doan.

I am also pursuing a Master's degree in Computer Science at UIUC, starting Fall 2025, under the supervision of Prof. Fan Lai, with a research focus on Efficient Machine Learning, especially in Multi-Agent Systems and Large Language Models (LLMs).

My broader research interests include:

Trustworthy Machine Learning
Efficient and Scalable Machine Learning Systems

I have developed a Shiny website where I curate and share a list of research papers, code, and resources related to these areas.

Previously, I earned my Bachelor's degree in Computer Science from the VNU University of Engineering and Technology.

If you're interested in my research, feel free to reach out via email for communication or collaboration.

News

[08/2025] FLAT: Latent-Driven Arbitrary-Target Backdoor Attacks in Federated Learning preprint on arXiv.
[07/2024] Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape preprint on arXiv.
[02/2024] Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training accepted to WWW 2024.
[09/2023] IBA: Towards Irreversible Backdoor Attacks in Federated Learning accepted to NeurIPS 2023.
[09/2023] Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions accepted to EAAI 2023.
[09/2023] An Empirical Study of Federated Unlearning: Efficiency and Effectiveness accepted to ACML 2023.

Federated Backdoor

Federated Learning Backdoor Attack

IBA (NeurIPS'23)

Irreversible Backdoor Attacks

Backdoor Learning Resources

Backdoor Attacks and Defenses Papers

FL Resources

Federated Learning Updated Papers

Machine Unlearing Resources

Machine Unlearing Updated Papers

LLM Resources

Large Language Model Updated Papers

Publications & Patents

(* equal contribution, † corresponding author)
Seleted Preprint

FLAT: Latent-Driven Arbitrary-Target Backdoor Attacks in Federated Learning

Tuan Nguyen, Khoa D Doan, Kok-Seng Wong^†

arXiv preprint, 2025. Paper (arXiv)

Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape

Tuan Nguyen, Dung Thuy Nguyen, Khoa D Doan, Kok-Seng Wong^†

arXiv preprint, 2024. Paper (arXiv) Code

Accepted

Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training

Ngoc-Hieu Nguyen, Tuan-Anh Nguyen, Tuan Nguyen, Vu Tien Hoang, Dung D Le, Kok-Seng Wong^†

WWW 2024. Paper Code

IBA: Towards Irreversible Backdoor Attacks in Federated Learning

Thuy Dung Nguyen, Tuan Nguyen, Anh Tran, Khoa D Doan, Kok-Seng Wong^†

NeurIPS 2023. Paper Code

Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions

Thuy Dung Nguyen^*, Tuan Nguyen^*, Phi Le Nguyen, Hieu H. Pham, Khoa Doan, Kok-Seng Wong^†

EAAI, 2023. Paper Code

An Empirical Study of Federated Unlearning: Efficiency and Effectiveness

Thai-Hung Nguyen, Hong-Phuc Vu, Dung Thuy Nguyen, Tuan Minh Nguyen, Khoa D Doan, Kok-Seng Wong^†

ACML 2023. Paper Code

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^†, Hieu Pham^†

Frontiers in Cardiovascular Medicine, 2023. Paper Code

Fully Automated Machine Learning Pipeline for Echocardiogram Segmentation

Thuy Hang Duong Thi, Tuan Nguyen Minh, Phi Nguyen Van, Quoc Long Tran^†

KSE 2021. Paper

Patents

Automated Quantification of Ejection Fraction directly from Echocardiography video

Tran Quoc Long, Le Sy Vinh, Le Tuan Thanh, Nguyen Van Phi, Le Pham Van Linh, Nguyen Minh Tuan, Tran Minh Duc

National Office of Intellectual Property of Vietnam, 2022.