With the widespread use of Internet of things (IoT), mobile phones, connected devices and
artificial intelligence (AI), recommender systems (RSs) have become a booming technology …

The internet is the home for huge volumes of useful data that is constantly being created
making it difficult for users to find information relevant to them. Recommendation System is a …

Shilling attacks against collaborative filtering (CF) models are characterized by several fake
user profiles mounted on the system by an adversarial party to harvest recommendation …

Deep learning classifiers are hugely vulnerable to adversarial examples, and their existence
raised cybersecurity concerns in many tasks with an emphasis on malware detection …

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

Social networks are a platform for individuals and organizations to connect with each other
and inform, advertise, spread ideas, and ultimately influence opinions. These platforms have …

Recommender system can provide users with the required information accurately and
efficiently, playing a very important role in improving users' life experience. Although …

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 …

Recommender systems in software engineering provide developers with a wide range of
valuable items to help them complete their tasks. Among others, API recommender systems …

The degree of openness of the socially aware recommendation systems and the possibility
of the attackers injecting vast numbers of fake profiles biases the prediction of the system …