3 citations · 5 across the 6 of their papers we have counts for
3 papers
cs.LG2020
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
Minh N. Vu, My T. Thai
In Graph Neural Networks (GNNs), the graph structure is incorporated into the learning of node representations. This complex structure makes explaining GNNs' predictions become muc…
cs.CR2019
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness
NhatHai Phan, Minh Vu, Yang Liu +4
In this paper, we propose a novel Heterogeneous Gaussian Mechanism (HGM) to preserve differential privacy in deep neural networks, with provable robustness against adversarial exam…
cs.LG2019
c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation
Minh N. Vu, Truc D. Nguyen, NhatHai Phan +2
In many modern image-classification applications, understanding the cause of model's prediction can be as critical as the prediction's accuracy itself. Various feature-based local…