Minh N. Vu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Acquire Knowledge

Differential Privacy

Reinforcement Learning

Top Venues

Publications

Hoang M. Ngo, Nguyen Hoang Khoi Do, Minh N. Vu, Tamer Kahveci, My T. Thai
CHARME: A chain-based reinforcement learning approach for the minor embedding problem. CoRR (2024)
Minh N. Vu, Truc D. T. Nguyen, Tre' R. Jeter, My T. Thai
Analysis of Privacy Leakage in Federated Large Language Models. CoRR (2024)
Nhat Hoang-Xuan, Minh N. Vu, My T. Thai
LLM-assisted Concept Discovery: Automatically Identifying and Explaining Neuron Functions. CoRR (2024)
Minh N. Vu, Truc D. T. Nguyen, Tre' R. Jeter, My T. Thai
Analysis of Privacy Leakage in Federated Large Language Models. AISTATS (2024)
Minh N. Vu, My T. Thai
Limitations of Perturbation-based Explanation Methods for Temporal Graph Neural Networks. ICDM (2023)
Minh N. Vu, Tre' R. Jeter, Raed Alharbi, My T. Thai
Active Data Reconstruction Attacks in Vertical Federated Learning. BigData (2023)
Minh N. Vu, Truc D. T. Nguyen, My T. Thai
NeuCEPT: Learn Neural Networks' Mechanism via Critical Neurons with Precision Guarantee. ICDM (2022)
Minh N. Vu, Huy Q. Mai, My T. Thai
EMaP: Explainable AI with Manifold-based Perturbations. CoRR (2022)
Minh N. Vu, Truc D. T. Nguyen, My T. Thai
NeuCEPT: Locally Discover Neural Networks' Mechanism via Critical Neurons Identification with Precision Guarantee. CoRR (2022)
Minh N. Vu, My T. Thai
On the Limit of Explaining Black-box Temporal Graph Neural Networks. CoRR (2022)
Wenchong He, Minh N. Vu, Zhe Jiang, My T. Thai
An Explainer for Temporal Graph Neural Networks. GLOBECOM (2022)
Wenchong He, Minh N. Vu, Zhe Jiang, My T. Thai
An Explainer for Temporal Graph Neural Networks. CoRR (2022)
Minh N. Vu, Truc D. T. Nguyen, NhatHai Phan, Ralucca Gera, My T. Thai
c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation. IEEE BigData (2021)
Raed Alharbi, Minh N. Vu, My T. Thai
Evaluating Fake News Detection Models from Explainable Machine Learning Perspectives. ICC (2021)
Raed Alharbi, Minh N. Vu, My T. Thai
Learning Interpretation with Explainable Knowledge Distillation. CoRR (2021)
Raed Alharbi, Minh N. Vu, My T. Thai
Learning Interpretation with Explainable Knowledge Distillation. IEEE BigData (2021)
Minh N. Vu, My T. Thai
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks. CoRR (2020)
Minh N. Vu, My T. Thai
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks. NeurIPS (2020)
Mohammad Ranjbar, Nghi H. Tran, Minh N. Vu, Truyen V. Nguyen, Mustafa Cenk Gursoy
Capacity Region and Capacity-Achieving Signaling Schemes for 1-bit ADC Multiple Access Channels in Rayleigh Fading. IEEE Trans. Wirel. Commun. 19 (9) (2020)
Minh N. Vu, Truc D. T. Nguyen, NhatHai Phan, Ralucca Gera, My T. Thai
Evaluating Explainers via Perturbation. CoRR (2019)
Minh N. Vu, Nghi H. Tran, Dissanayakage G. Wijeratne, Khanh D. Pham, Kye-Shin Lee, Duy H. N. Nguyen
Optimal Signaling Schemes and Capacity of Non-Coherent Rician Fading Channels With Low-Resolution Output Quantization. IEEE Trans. Wirel. Commun. 18 (6) (2019)
NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. CoRR (2019)
NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. IJCAI (2019)
Minh N. Vu, Nghi H. Tran, Hoang Duong Tuan, Truyen V. Nguyen, Duy H. N. Nguyen
Optimal Signaling Schemes and Capacities of Non-Coherent Correlated MISO Channels Under Per-Antenna Power Constraints. IEEE Trans. Commun. 67 (1) (2019)
Minh N. Vu, Dissanayakage G. Wijeratne, Nghi H. Tran, Khanh D. Pham
Optimal Signaling Scheme and Capacity of Non-Coherent Rician Fading Channels with 1-Bit Output Quantization. ICC (2018)