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Tuan Nguyen 🇻🇳

Contact Me

I am currently a fourth-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, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).

My broader research interests include:

  • Trustworthy Machine Learning
  • Efficient and Scalable Machine Learning Systems

I have developed a research papers 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.

News

Federated Backdoor
GitHub stars

Federated Learning Backdoor Attack

IBA (NeurIPS'23)
GitHub stars

Irreversible Backdoor Attacks

Backdoor Learning Resources
GitHub stars

Backdoor Attacks and Defenses Papers

FL Resources
GitHub stars

Federated Learning Updated Papers

Machine Unlearing Resources
GitHub stars

Machine Unlearing Updated Papers

LLM Resources
GitHub stars

Large Language Model Updated Papers

Publications & Patents

(* equal contribution, † corresponding author)
Seleted Preprint
FLAT overview

FLAT: Revealing Hidden Latent-Conditioned Backdoor Failures in Federated Learning

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

arXiv preprint, 2025.   Paper (arXiv)   sail-research/flat   GitHub stars

BibTeX 
@misc{nguyen2026flat,
  title={FLAT: Revealing Hidden Latent-Conditioned Backdoor Failures in Federated Learning},
  author={Tuan Nguyen and Sze Jue Yang and Khoa D. Doan and Chee Seng Chan and Kok-Seng Wong},
  year={2026},
  eprint={2508.04064},
  archivePrefix={arXiv},
  primaryClass={cs.LG},
  url={https://arxiv.org/abs/2508.04064}
}
teaser

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  

BibTeX 
@misc{nguyen2024noncooperative,
  title={Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape},
  author={Tuan Nguyen and Dung Thuy Nguyen and Khoa D Doan and Kok-Seng Wong},
  year={2024},
  eprint={2407.07917},
  archivePrefix={arXiv},
  primaryClass={cs.CR},
  url={https://arxiv.org/abs/2407.07917}
}
Accepted
MCP framework for mining reusable evidence views and online RAG compression

MCP: From Context Compression to Mining for Efficient RAG-based LLM Serving

Tuan Nguyen, Qiran Hu, Banruo Liu, Khoa D. Doan, Kok-Seng Wong, Fan Lai

IEEE ICDM 2026 (accepted).   Framework Figure

BibTeX 
@inproceedings{nguyen2026mcp,
  title={MCP: From Context Compression to Mining for Efficient RAG-based LLM Serving},
  author={Nguyen, Tuan and Hu, Qiran and Liu, Banruo and Doan, Khoa and Wong, Kok-Seng and Lai, Fan},
  booktitle={2026 IEEE International Conference on Data Mining (ICDM)},
  year={2026}
}
teaser

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   GitHub stars

BibTeX 
@inproceedings{nguyen2024towards,
  title={Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training},
  author={Nguyen, Ngoc-Hieu and Nguyen, Tuan-Anh and Nguyen, Tuan and Hoang, Vu Tien and Le, Dung D. and Wong, Kok-Seng},
  booktitle={Proceedings of the ACM Web Conference 2024},
  series={WWW '24},
  publisher={ACM},
  pages={3940--3951},
  year={2024},
  month={May},
  doi={10.1145/3589334.3645702},
  url={https://doi.org/10.1145/3589334.3645702}
}
teaser

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   GitHub stars

BibTeX 
@inproceedings{nguyen2023iba,
  author={Nguyen, Thuy Dung and Nguyen, Tuan and Tran, Anh and Doan, Khoa D and Wong, Kok-Seng},
  booktitle={Advances in Neural Information Processing Systems},
  editor={A. Oh and T. Naumann and A. Globerson and K. Saenko and M. Hardt and S. Levine},
  pages={66364--66376},
  publisher={Curran Associates, Inc.},
  title={IBA: Towards Irreversible Backdoor Attacks in Federated Learning},
  url={https://proceedings.neurips.cc/paper_files/paper/2023/file/d0c6bc641a56bebee9d985b937307367-Paper-Conference.pdf},
  volume={36},
  year={2023}
}
teaser

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   GitHub stars

BibTeX 
@article{nguyen2024backdoor,
  title={Backdoor attacks and defenses in federated learning: Survey, challenges and future research directions},
  author={Nguyen, Thuy Dung and Nguyen, Tuan and Nguyen, Phi Le and Pham, Hieu H. and Doan, Khoa D. and Wong, Kok-Seng},
  journal={Engineering Applications of Artificial Intelligence},
  volume={127},
  pages={107166},
  year={2024},
  month={Jan},
  publisher={Elsevier BV},
  doi={10.1016/j.engappai.2023.107166},
  url={https://doi.org/10.1016/j.engappai.2023.107166}
}
teaser

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   GitHub stars

BibTeX 
@InProceedings{nguyen2024empirical,
  title={Empirical Study of Federated Unlearning: {E}fficiency and Effectiveness},
  author={Nguyen, Thai-Hung and Vu, Hong-Phuc and Nguyen, Dung Thuy and Nguyen, Tuan Minh and Doan, Khoa D and Wong, Kok-Seng},
  booktitle={Proceedings of the 15th Asian Conference on Machine Learning},
  pages={959--974},
  year={2024},
  editor={Yanıkoğlu, Berrin and Buntine, Wray},
  volume={222},
  series={Proceedings of Machine Learning Research},
  month={11--14 Nov},
  publisher={PMLR},
  pdf={https://proceedings.mlr.press/v222/nguyen24a/nguyen24a.pdf},
  url={https://proceedings.mlr.press/v222/nguyen24a.html}
}
teaser

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   GitHub stars

BibTeX 
@article{nguyen2023ensemble,
  title={Ensemble learning of myocardial displacements for myocardial infarction detection in echocardiography},
  author={Nguyen, Tuan and Nguyen, Phi and Tran, Dai and Pham, Hung and Nguyen, Quang and Le, Thanh and Van, Hanh and Do, Bach and Tran, Phuong and Le, Vinh and Nguyen, Thuy and Tran, Long and Pham, Hieu},
  journal={Frontiers in Cardiovascular Medicine},
  volume={10},
  year={2023},
  month={Oct},
  publisher={Frontiers Media SA},
  doi={10.3389/fcvm.2023.1185172},
  url={https://doi.org/10.3389/fcvm.2023.1185172}
}
teaser

Fully Automated Machine Learning Pipeline for Echocardiogram Segmentation

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

KSE 2021.   Paper  

BibTeX 
@inproceedings{thi2021fully,
  title={Fully Automated Machine Learning Pipeline for Echocardiogram Segmentation},
  author={Thi, Thuy Hang Duong and Minh, Tuan Nguyen and Van, Phi Nguyen and Tran, Quoc Long},
  booktitle={2021 13th International Conference on Knowledge and Systems Engineering (KSE)},
  publisher={IEEE},
  pages={1--6},
  year={2021},
  month={Nov},
  doi={10.1109/KSE53942.2021.9648607},
  url={https://doi.org/10.1109/KSE53942.2021.9648607}
}
Patents
teaser

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.