Center for Nonlinear Studies

Lab Home | Phone | Search

Center for Nonlinear Studies

Minh Nhat Vu

CNLS Postdoctoral Research Associate
T-1

Office: TA-3, Bldg 1690, Room 125
Mail Stop: B258
Email: mvu@lanl.gov

Research highlight

I enjoy exploring and developing rigorous mathematical tools to address practical challenges in computer science, with a focus on trustworthy machine learning. My research spans three main areas: explainability, adversarial robustness, and data security.

Talks at CNLS:

Apr 10th, 2025 - Postdoc Seminar: Topological Signatures of Adversaries in Multimodal Alignments

Educational Background/Employment:

B.S. (2015) Electrical and Electronics Engineering, Hanoi University of Science and Technology
M.S. (2018) Electrical Engineering, University of Akron
Ph.D. (2023) Computer Science, University of Florida

Research Interests:

Machine Learning
Information Theory

Google Scholar

Selected Recent Publications:

M. Vu; G. Zollicoffer; B. Nebgen; J. Castorena; B. Alexandrov; M. Bhattarai. LoRID: Low-Rank Iterative Diffusion for Adversarial Purification (2024) 10.48550/arXiv.2403.04784
M. Bhattarai; R. Barron; M.E. Eren; M. Vu; V. Grantcharov; I. Boureima; V. Stanev; C. Matuszek; V. Valtchinov; K.Ø. Rasmussen; B. Alexandrov. HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning (2025) 10.48550/arXiv.2412.04661
M. Bhattarai; M. Vu; J. E. Santos; I. Boureima; D. O’ Malley. Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation (2025) 10.48550/arXiv.2412.05159
R. Colman; M. Vu; M. Bhattarai, M. Ma; H. Viswanathan; D. O’Malley; J. E. Santos. PatchFinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty (2024) 10.48550/arXiv.2412.02886
M. Vu; T. Nguyen; My T. Thai. Analysis of Privacy Leakage in Federated Large Language Models (2024) 10.48550/arXiv.2403.04784