Neural ranking models (NRMs) have shown remarkable success in recent years, especially
with pre-trained language models. However, deep neural models are notorious for their …

Search engines became a de facto place to start information acquisition on the Web. Though
due to web spam phenomenon, search results are not always as good as desired …

Various Web spam features and machine learning structures were constantly proposed to
classify Web spam in recent years. The aim of this paper was to provide a comprehensive …

Many machine-controlled Twitter accounts (also called “Sybils”) are created each day to
provide services, flood out messages for astroturf political campaigns, write fake product …

In recent years, machine learning (ML) has become an important part to yield security and
privacy in various applications. ML is used to address serious issues such as real-time …

From the last few years, Internet of Things has revolutionized the entire world. In this, various
smart objects perform the tasks of sensing and computing to provide uninterrupted services …

With the development of the Internet, the number of web spam increases gradually, which
has seriously affected the user experience of search engines. To improve the classification …

Anomaly detection has been an essential and dynamic research area in the data mining. A
wide range of applications including different social medias have adopted different state-of …

Within the past few years, social media platforms such as Facebook, Twitter, and Sina
Weibo, have gradually become important channels for information dissemination and …

Fake identities and user accounts (also called" Sybils") in online communities represent
today a treasure for adversaries to spread fake product reviews, malware and spam on …