activity
20172019
most citedWikipedia Vandal Early Detection: from User Behavior to User Embedding

7 citations · 15 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG20192 cited

Identifying Hidden Buyers in Darknet Markets via Dirichlet Hawkes Process

Panpan Zheng, Shuhan Yuan, Xintao Wu +1

The darknet markets are notorious black markets in cyberspace, which involve selling or brokering drugs, weapons, stolen credit cards, and other illicit goods. To combat illicit tr…

cs.CR20196 cited

Insider Threat Detection via Hierarchical Neural Temporal Point Processes

Shuhan Yuan, Panpan Zheng, Xintao Wu +1

Insiders usually cause significant losses to organizations and are hard to detect. Currently, various approaches have been proposed to achieve insider threat detection based on ana…

cs.LG2018

SAFE: A Neural Survival Analysis Model for Fraud Early Detection

Panpan Zheng, Shuhan Yuan, Xintao Wu

Many online platforms have deployed anti-fraud systems to detect and prevent fraudulent activities. However, there is usually a gap between the time that a user commits a fraudulen…

cs.LG2018

One-Class Adversarial Nets for Fraud Detection

Panpan Zheng, Shuhan Yuan, Xintao Wu +2

Many online applications, such as online social networks or knowledge bases, are often attacked by malicious users who commit different types of actions such as vandalism on Wikipe…

cs.CR20177 cited

Wikipedia Vandal Early Detection: from User Behavior to User Embedding

Shuhan Yuan, Panpan Zheng, Xintao Wu +1

Wikipedia is the largest online encyclopedia that allows anyone to edit articles. In this paper, we propose the use of deep learning to detect vandals based on their edit history.…