most citedAttack Graph Convolutional Networks by Adding Fake Nodes

55 citations · 60 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SI2018

Globalness Detection in Online Social Network

Yu-Cheng Lin, Chun-Ming Lai, S. Felix Wu +1

Classification problems have made significant progress due to the maturity of artificial intelligence (AI). However, differentiating items from categories without noticeable bounda…

cs.SI2018

More or Less? Predict the Social Influence of Malicious URLs on Social Media

Chun-Ming Lai, Xiaoyun Wang, Jon W. Chapman +5

Users of Online Social Networks (OSNs) interact with each other more than ever. In the context of a public discussion group, people receive, read, and write comments in response to…

cs.LG2018★ 55 cited

Attack Graph Convolutional Networks by Adding Fake Nodes

Xiaoyun Wang, Minhao Cheng, Joe Eaton +2

In this paper, we study the robustness of graph convolutional networks (GCNs). Previous work have shown that GCNs are vulnerable to adversarial perturbation on adjacency or feature…

cs.SI2018★ 1 cited

Multi-View Community Detection in Facebook Public Pages

Zhige Xin, Chun-Ming Lai, Jon W. Chapman +2

Community detection in social networks is widely studied because of its importance in uncovering how people connect and interact. However, little attention has been given to commun…

cs.SI2018★ 4 cited

Attacking Strategies and Temporal Analysis Involving Facebook Discussion Groups

Chun-Ming Lai, Xiaoyun Wang, Yunfeng Hong +4

Online social network (OSN) discussion groups are exerting significant effects on political dialogue. In the absence of access control mechanisms, any user can contribute to any OS…

cs.SI2018

Multiple Accounts Detection on Facebook Using Semi-Supervised Learning on Graphs

Xiaoyun Wang, Chun-Ming Lai, Yunfeng Hong +2

In social networks, a single user may create multiple accounts to spread his / her opinions and to influence others, by actively comment on different news pages. It would be benefi…