Tuan Nguyen

I am a second-year Ph.D. student (2023-present) at the Security and Artificial Intelligence Lab (SAIL) and the VinUni-Illinois Smart Health Center (VISHC) , at VinUniversity, supervised by Prof. Kok-Seng Wong and Prof. Khoa D Doan.

My research focuses on Federated Learning, Backdoor Learning, Trustworthy Machine Learning, and Adversarial Machine Learning.

I have developed a Shiny website where I share a curated list of papers, code, and resources related to these research 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 to me via email for communication or collaboration.

A Cat lover 🐱

News

[02/2024] One paper is accepted to WWW 2024.
[09/2023] One paper is accepted to NeurIPS 2023.
[09/2023] One paper is accepted to EAAI 2023.
[09/2023] One paper is 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

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.