Sledovat
Minh Vu
Název
Citace
Citace
Rok
Pgm-explainer: Probabilistic graphical model explanations for graph neural networks
M Vu, MT Thai
Advances in neural information processing systems 33, 12225-12235, 2020
3982020
Heterogeneous gaussian mechanism: Preserving differential privacy in deep learning with provable robustness
NH Phan, M Vu, Y Liu, R Jin, D Dou, X Wu, MT Thai
arXiv preprint arXiv:1906.01444, 2019
672019
Evaluating explainers via perturbation
MN Vu, TD Nguyen, NH Phan, R Gera, MT Thai
Monterey, California. Naval Postgraduate School, 2019
252019
An explainer for temporal graph neural networks
W He, MN Vu, Z Jiang, MT Thai
GLOBECOM 2022-2022 IEEE Global Communications Conference, 6384-6389, 2022
212022
Evaluating fake news detection models from explainable machine learning perspectives
R Alharbi, MN Vu, MT Thai
ICC 2021-IEEE International Conference on Communications, 1-6, 2021
202021
Optimal signaling schemes and capacity of non-coherent Rician fading channels with low-resolution output quantization
MN Vu, NH Tran, DG Wijeratne, K Pham, KS Lee, DHN Nguyen
IEEE Transactions on Wireless Communications 18 (6), 2989-3004, 2019
192019
Learning interpretation with explainable knowledge distillation
R Alharbi, MN Vu, MT Thai
2021 IEEE International Conference on Big Data (Big Data), 705-714, 2021
142021
Capacity region and capacity-achieving signaling schemes for 1-bit ADC multiple access channels in Rayleigh fading
M Ranjbar, NH Tran, MN Vu, TV Nguyen, MC Gursoy
IEEE Transactions on Wireless Communications 19 (9), 6162-6178, 2020
122020
Optimal signaling schemes and capacities of non-coherent correlated MISO channels under per-antenna power constraints
MN Vu, NH Tran, HD Tuan, TV Nguyen, DHN Nguyen
IEEE Transactions on Communications 67 (1), 190-204, 2018
82018
Optimal signaling scheme and capacity of non-coherent Rician fading channels with 1-bit output quantization
M Vu, DG Wijeratne, NH Tran, K Pham
2018 IEEE International Conference on Communications (ICC), 1-6, 2018
82018
c-Eval: A unified metric to evaluate feature-based explanations via perturbation
MN Vu, TD Nguyen, NH Phan, R Gera, MT Thai
2021 IEEE International Conference on Big Data (Big Data), 927-937, 2021
72021
On the sum-capacity-achieving distributions and sum-capacity of 1-bit ADC MACs in Rayleigh fading
M Ranjbar, M Vu, NH Tran, K Pham, DHN Nguyen
ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019
72019
Analysis of privacy leakage in federated large language models
M Vu, T Nguyen, MT Thai
International Conference on Artificial Intelligence and Statistics, 1423-1431, 2024
52024
Active data reconstruction attacks in vertical federated learning
MN Vu, J Tre’R, R Alharbi, MT Thai
2023 IEEE International Conference on Big Data (BigData), 1374-1379, 2023
42023
On the limit of explaining black-box temporal graph neural networks
MN Vu, MT Thai
arXiv preprint arXiv:2212.00952, 2022
42022
NeuCEPT: Locally Discover Neural Networks' Mechanism via Critical Neurons Identification with Precision Guarantee
MN Vu, TD Nguyen, MT Thai
arXiv preprint arXiv:2209.08448, 2022
32022
A probability-based adaption method for server-pushed streaming over HTTP 2.0
VN Minh, PH Phong, PN Nam
2016 IEEE Sixth International Conference on Communications and Electronics …, 2016
32016
Neucept: Learn neural networks’ mechanism via critical neurons with precision guarantee
MN Vu, TD Nguyen, MT Thai
2022 IEEE International Conference on Data Mining (ICDM), 488-497, 2022
22022
On optimal input and capacity of non-coherent correlated MISO channels under per-antenna power constraints
M Vu, NH Tran, HD Tuan, TV Nguyen, DHN Nguyen
2018 IEEE Seventh International Conference on Communications and Electronics …, 2018
22018
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification
G Zollicoffer, M Vu, B Nebgen, J Castorena, B Alexandrov, M Bhattarai
arXiv preprint arXiv:2409.08255, 2024
12024
Systém momentálně nemůže danou operaci provést. Zkuste to znovu později.
Články 1–20