Over the past years, the emergence of intelligent networks empowered by machine learning
techniques has brought great facilitates to different aspects of human life. However, using …

The prosperity of machine learning has been accompanied by increasing attacks on the
training process. Among them, poisoning attacks have become an emerging threat during …

Machine learning models have been widely adopted in several fields. However, most recent
studies have shown several vulnerabilities from attacks with a potential to jeopardize the …

Recent years have witnessed tremendous academic efforts and industry growth in machine
learning. The security of machine learning has become increasingly prominent. Poisoning …

Poisoning attack is identified as a severe security threat to machine learning algorithms. In
many applications, for example, deep neural network (DNN) models collect public data as …

Machine learning (ML) has been universally adopted for automated decisions in a variety of
fields, including recognition and classification applications, recommendation systems …

Machine learning algorithms are vulnerable to poisoning attacks: An adversary can inject
malicious points in the training dataset to influence the learning process and degrade the …

Among many application domains of machine learning in real-world settings, cyber security
can benefit from more automated techniques to combat sophisticated adversaries. Modern …

Machine learning techniques have been widely applied to various applications. However,
they are potentially vulnerable to data poisoning attacks, where sophisticated attackers can …

With the huge services provided by machine learning systems in our daily life, the attacks on
these services are increasing every day. The attackers are trying to distort the functionality of …