Recommender systems have become an integral part of online services due to their ability to
help users locate specific information in a sea of data. However, existing studies show that …

In the age of information overload, recommender systems have emerged as essential tools,
assisting users in decision-making processes by offering personalized suggestions …

Recent studies have shown that recommender systems are vulnerable, and it is easy for
attackers to inject well-designed malicious profiles into the system, resulting in biased …

As an important means to solve information overload, recommender systems have been
widely applied in many fields, such as e-commerce and advertising. However, recent studies …

Recent studies have shown that recommender systems are vulnerable, and it is easy for
attackers to inject well-designed malicious profiles into the system, leading to biased …

Abstract Web users are flooded with information on the internet, and they feel overwhelmed
by the different choices they have to make online daily. Recommender systems come to their …

Adversarial machine learning is the research field investigating vulnerabilities inherent to
machine learning systems' design and ways to defend against them. Recently …

A large fraction of traffic on present-day Web servers is generated by bots—intelligent
agents able to traverse the Web and execute various advanced tasks. Since bots' activity …

With the growth of CyberTerrorism, enterprises worldwide have been struggling to stop
intruders from obtaining private data. Despite the efforts made by Cybersecurity experts, the …

As the prevalence of user-generated reviews has been growing, the pervasiveness of
fraudulent reviews has been increasing as well. In an effort to alleviate the consequences of …