91 citations · 217 across the 26 of their papers we have counts for
8 papers · 1 filter
Cost-aware Targeted Viral Marketing: Approximation with Less Samples
Canh V. Pham, Hieu V. Duong, My T. Thai
Cost-aware Targeted Viral Marketing (CTVM), a generalization of Influence Maximization (IM), has received a lot of attentions recently due to its commercial values. Previous approx…
Submodular Cost Submodular Cover with an Approximate Oracle
Victoria G. Crawford, Alan Kuhnle, My T. Thai
In this work, we study the Submodular Cost Submodular Cover problem, which is to minimize the submodular cost required to ensure that the submodular benefit function exceeds a give…
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…
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…
Scalable Differential Privacy with Certified Robustness in Adversarial Learning
NhatHai Phan, My T. Thai, Han Hu +3
In this paper, we aim to develop a scalable algorithm to preserve differential privacy (DP) in adversarial learning for deep neural networks (DNNs), with certified robustness to ad…
Exploring Spatial, Temporal, and Logical Attacks on the Bitcoin Network
Muhammad Saad, Victor Cook, Lan Nguyen +2
In this paper, we explore the partitioning attacks on the Bitcoin network, which is shown to exhibit spatial bias, and temporal and logical diversity. Through data-driven study we…