Vu, Minh N.

6 publications

ICLRW 2025 HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning Manish Bhattarai, Ryan Barron, Maksim E. Eren, Minh N. Vu, Vesselin Grantcharov, Ismael Boureima, Valentin Stanev, Cynthia Matuszek, Vladimir I Valtchinov, Kim Rasmussen, Boian S. Alexandrov

AAAI 2025 LoRID: Low-Rank Iterative Diffusion for Adversarial Purification Geigh Zollicoffer, Minh N. Vu, Ben Nebgen, Juan Castorena, Boian S. Alexandrov, Manish Bhattarai

ICML 2025 Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models Quan Minh Nguyen, Minh N. Vu, Truc Nguyen, My T. Thai

ICML 2025 Topological Signatures of Adversaries in Multimodal Alignments Minh N. Vu, Geigh Zollicoffer, Huy Mai, Ben Nebgen, Boian Alexandrov, Manish Bhattarai

NeurIPSW 2024 Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation Manish Bhattarai, Minh N. Vu, Javier E. Santos, Ismael Boureima, Daniel O'Malley

IJCAI 2019 Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai