activity
20162019
most citedLeast Cost Influence Maximization Across Multiple Social Networks

91 citations · 91 across the 5 of their papers we have counts for

collaborators

5 papers

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.SI2017

Vulnerability of D2D Communications from Interconnected Social Networks

Tianyi Pan, Md Abdul Alim, Xiang Li +1

In this paper, we study how rumors in Online Social Networks (OSNs) may impact the performance of device-to-device (D2D) communication. As D2D is a new technology, people may choos…

cs.SI2017

Scalable Bicriteria Algorithms for the Threshold Activation Problem in Online Social Networks

Alan Kuhnle, Tianyi Pan, Md Abdul Alim +1

We consider the Threshold Activation Problem (TAP): given social network and positive threshold , find a minimum-size seed set that can trigger expected activation of at…

cs.SI2017

Vulnerability of Clustering under Node Failure in Complex Networks

Alan Kuhnle, Nam P. Nguyen, Thang N. Dinh +1

Robustness in response to unexpected events is always desirable for real-world networks. To improve the robustness of any networked system, it is important to analyze vulnerability…

cs.SI201691 cited

Least Cost Influence Maximization Across Multiple Social Networks

Huiyuan Zhang, Dung T. Nguyen, Soham Das +2

Recently in Online Social Networks (OSNs), the Least Cost Influence (LCI) problem has become one of the central research topics. It aims at identifying a minimum number of seed use…