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20162023
most citedLeast Cost Influence Maximization Across Multiple Social Networks

91 citations · 217 across the 26 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

cs.DS2019

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…

cs.DS2019

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…

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…

cs.CR2019

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…

cs.NI2019

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…