| 2025 | AAAI | LoRID: Low-Rank Iterative Diffusion for Adversarial Purification. | Geigh Zollicoffer, Minh N. Vu, Ben Nebgen, Juan Castorena, Boian S. Alexandrov, Manish Bhattarai |
| 2025 | ICML | Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models. | Quan Minh Nguyen, Minh N. Vu, Truc Nguyen, My T. Thai |
| 2025 | SC | TT-LoRA MoE: Using Parameter-Efficient Fine-Tuning and Sparse Mixture-Of-Experts. | Pradip Kunwar, Minh N. Vu, Maanak Gupta, Mahmoud Abdelsalam, Manish Bhattarai |
| 2024 | AISTATS | Analysis of Privacy Leakage in Federated Large Language Models. | Minh N. Vu, Truc D. T. Nguyen, Tre' R. Jeter, My T. Thai |
| 2024 | SecureComm | Stuck in the SAND: When Your Neighbor Becomes Your Enemy. | Tre' R. Jeter, Minh N. Vu, Raed Alharbi, My T. Thai |
| 2023 | ICDM | Limitations of Perturbation-based Explanation Methods for Temporal Graph Neural Networks. | Minh N. Vu, My T. Thai |
| 2022 | GLOBECOM | An Explainer for Temporal Graph Neural Networks. | Wenchong He, Minh N. Vu, Zhe Jiang, My T. Thai |
| 2022 | ICDM | NeuCEPT: Learn Neural Networks' Mechanism via Critical Neurons with Precision Guarantee. | Minh N. Vu, Truc D. T. Nguyen, My T. Thai |
| 2019 | IJCAI | 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 |