This article aims to summarize the recent advancement in the fake account detection
methodology on social networking websites. Over the past decade, social networking …

Due to the exponential growth in the popularity of online social networks (OSNs), such as
Twitter and Facebook, the number of machine accounts that are designed to mimic human …

A rapid growth in the amount of fake news on social media is a very serious concern in our
society. It is usually created by manipulating images, text, audio, and videos. This indicates …

In this work, we propose the first backdoor attack to graph neural networks (GNN).
Specifically, we propose a subgraph based backdoor attack to GNN for graph classification …

Social media following its introduction has witnessed a lot of scholarly attention in recent
years due to its growing popularity. These various social media sites have become the …

Graph-based semi-supervised node classification (GraphSSC) has wide applications,
ranging from networking and security to data mining and machine learning, etc. However …

Graph-based classification methods are widely used for security analytics. Roughly
speaking, graph-based classification methods include collective classification and graph …

Emergence of social media invokes social actors to share their information digitally.
Moreover, it enables them to maintain their links with other people worldwide. Due to its …

In this paper, we study the problem of early detection of fake user accounts on social
networks based solely on their network connectivity with other users. Removing such …