Minh N. Vu - RankMe

38 papers A* 6A 2B 2Journal 23Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CHARME: A Chain-based Reinforcement Learning Approach for the Minor Embedding Problem. ACM Trans. Quantum Comput. Hoang M. Ngo, Nguyen Do, Minh N. Vu, Tre' R. Jeter, Tamer Kahveci, My T. Thai
2026	J	`jnl`	Privacy Enhanced PEFT: Tensor Train Decomposition Improves Privacy Utility Tradeoffs under DP-SGD. CoRR Pradip Kunwar, Minh N. Vu, Maanak Gupta, Manish Bhattarai
2025	J	`jnl`	Active Gradient Manipulation for Privacy Breaching in Vertical Federated Learning. IEEE Trans. Artif. Intell. Tre' R. Jeter, Minh N. Vu, Raed Alharbi, Jung Taek Seo, My T. Thai
2025	J	`jnl`	Diverging Towards Hallucination: Detection of Failures in Vision-Language Models via Multi-token Aggregation. CoRR Geigh Zollicoffer, Minh N. Vu, Manish Bhattarai
2025	J	`jnl`	HalluField: Detecting LLM Hallucinations via Field-Theoretic Modeling. CoRR Minh N. Vu, Brian K. Tran, Syed A. Shah, Geigh Zollicoffer, Nhat Hoang-Xuan, Manish Bhattarai
2025	A*	`conf`	LoRID: Low-Rank Iterative Diffusion for Adversarial Purification. AAAI Geigh Zollicoffer, Minh N. Vu, Ben Nebgen, Juan Castorena, Boian S. Alexandrov, Manish Bhattarai
2025	J	`jnl`	PAS : Prelim Attention Score for Detecting Object Hallucinations in Large Vision-Language Models. CoRR Nhat Hoang-Xuan, Minh N. Vu, My T. Thai, Manish Bhattarai
2025	J	`jnl`	TT-LoRA MoE: Unifying Parameter-Efficient Fine-Tuning and Sparse Mixture-of-Experts. CoRR Pradip Kunwar, Minh N. Vu, Maanak Gupta, Mahmoud Abdelsalam, Manish Bhattarai
2025	A	`conf`	TT-LoRA MoE: Using Parameter-Efficient Fine-Tuning and Sparse Mixture-Of-Experts. SC Pradip Kunwar, Minh N. Vu, Maanak Gupta, Mahmoud Abdelsalam, Manish Bhattarai
2025	A*	`conf`	Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models. ICML Quan Minh Nguyen, Minh N. Vu, Truc Nguyen, My T. Thai
2025	J	`jnl`	Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models. CoRR Quan Minh Nguyen, Minh N. Vu, Truc Nguyen, My T. Thai
2024	A	`conf`	Analysis of Privacy Leakage in Federated Large Language Models. AISTATS Minh N. Vu, Truc D. T. Nguyen, Tre' R. Jeter, My T. Thai
2024	J	`jnl`	Analysis of Privacy Leakage in Federated Large Language Models. CoRR Minh N. Vu, Truc D. T. Nguyen, Tre' R. Jeter, My T. Thai
2024	J	`jnl`	CHARME: A chain-based reinforcement learning approach for the minor embedding problem. CoRR Hoang M. Ngo, Nguyen Hoang Khoi Do, Minh N. Vu, Tamer Kahveci, My T. Thai
2024	J	`jnl`	LLM-assisted Concept Discovery: Automatically Identifying and Explaining Neuron Functions. CoRR Nhat Hoang-Xuan, Minh N. Vu, My T. Thai
2024	J	`jnl`	LaFA: Latent Feature Attacks on Non-negative Matrix Factorization. CoRR Minh N. Vu, Ben Nebgen, Erik Skau, Geigh Zollicoffer, Juan Castorena, Kim Ø. Rasmussen, Boian S. Alexandrov, Manish Bhattarai
2024	J	`jnl`	LoRID: Low-Rank Iterative Diffusion for Adversarial Purification. CoRR Geigh Zollicoffer, Minh N. Vu, Ben Nebgen, Juan Castorena, Boian S. Alexandrov, Manish Bhattarai
2024	—	`conf`	Stuck in the SAND: When Your Neighbor Becomes Your Enemy. SecureComm (1) Tre' R. Jeter, Minh N. Vu, Raed Alharbi, My T. Thai
2023	B	`conf`	Active Data Reconstruction Attacks in Vertical Federated Learning. IEEE Big Data Minh N. Vu, Tre' R. Jeter, Raed Alharbi, My T. Thai
2023	A*	`conf`	Limitations of Perturbation-based Explanation Methods for Temporal Graph Neural Networks. ICDM Minh N. Vu, My T. Thai
2022	B	`conf`	An Explainer for Temporal Graph Neural Networks. GLOBECOM Wenchong He, Minh N. Vu, Zhe Jiang, My T. Thai
2022	J	`jnl`	An Explainer for Temporal Graph Neural Networks. CoRR Wenchong He, Minh N. Vu, Zhe Jiang, My T. Thai
2022	A*	`conf`	NeuCEPT: Learn Neural Networks' Mechanism via Critical Neurons with Precision Guarantee. ICDM Minh N. Vu, Truc D. T. Nguyen, My T. Thai
2022	J	`jnl`	NeuCEPT: Locally Discover Neural Networks' Mechanism via Critical Neurons Identification with Precision Guarantee. CoRR Minh N. Vu, Truc D. T. Nguyen, My T. Thai
2022	J	`jnl`	On the Limit of Explaining Black-box Temporal Graph Neural Networks. CoRR Minh N. Vu, My T. Thai
2021	—	`conf`	Evaluating Fake News Detection Models from Explainable Machine Learning Perspectives. ICC Raed Alharbi, Minh N. Vu, My T. Thai
2021	—	`conf`	Learning Interpretation with Explainable Knowledge Distillation. IEEE BigData Raed Alharbi, Minh N. Vu, My T. Thai
2021	J	`jnl`	Learning Interpretation with Explainable Knowledge Distillation. CoRR Raed Alharbi, Minh N. Vu, My T. Thai
2021	—	`conf`	c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation. IEEE BigData Minh N. Vu, Truc D. T. Nguyen, NhatHai Phan, Ralucca Gera, My T. Thai
2020	J	`jnl`	Capacity Region and Capacity-Achieving Signaling Schemes for 1-bit ADC Multiple Access Channels in Rayleigh Fading. IEEE Trans. Wirel. Commun. Mohammad Ranjbar, Nghi H. Tran, Minh N. Vu, Truyen V. Nguyen, Mustafa Cenk Gursoy
2020	A*	`conf`	PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks. NeurIPS Minh N. Vu, My T. Thai
2020	J	`jnl`	PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks. CoRR Minh N. Vu, My T. Thai
2019	J	`jnl`	Evaluating Explainers via Perturbation. CoRR Minh N. Vu, Truc D. T. Nguyen, NhatHai Phan, Ralucca Gera, My T. Thai
2019	A*	`conf`	Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. IJCAI NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai
2019	J	`jnl`	Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. CoRR NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai
2019	J	`jnl`	Optimal Signaling Schemes and Capacities of Non-Coherent Correlated MISO Channels Under Per-Antenna Power Constraints. IEEE Trans. Commun. Minh N. Vu, Nghi H. Tran, Hoang Duong Tuan, Truyen V. Nguyen, Duy H. N. Nguyen
2019	J	`jnl`	Optimal Signaling Schemes and Capacity of Non-Coherent Rician Fading Channels With Low-Resolution Output Quantization. IEEE Trans. Wirel. Commun. Minh N. Vu, Nghi H. Tran, Dissanayakage G. Wijeratne, Khanh D. Pham, Kye-Shin Lee, Duy H. N. Nguyen
2018	—	`conf`	Optimal Signaling Scheme and Capacity of Non-Coherent Rician Fading Channels with 1-Bit Output Quantization. ICC Minh N. Vu, Dissanayakage G. Wijeratne, Nghi H. Tran, Khanh D. Pham