Zero-day malware is malware that has never been seen before or is so new that no anti-
malware software can catch it. This novelty and the lack of existing mitigation strategies …

Over the last few years, the adoption of machine learning in a wide range of domains has
been remarkable. Deep learning, in particular, has been extensively used to drive …

The Internet of Things (IoT) has paved the way to a highly connected society where all things
are interconnected and exchanging information has become more accessible through the …

As the demand for Internet of Things (IoT) technologies continues to grow, IoT devices have
been viable targets for malware infections. Although deep learning-based malware …

Recent security attack reports show that the number of malware attacks is gradually growing
over the years due to the rapid adoption of smart healthcare systems. The development of a …

Abstract Adversarial Machine Learning (AML) discusses the act of attacking and defending
Machine Learning (ML) Models, an essential building block of Artificial Intelligence (AI). ML …

IoT devices which include wireless sensors, software, actuators, and computer devices
operated through the Internet, enable the transfer of data among objects or people …

With the ever increasing threat of malware, extensive research effort has been put on
applying Deep Learning for malware classification tasks. Graph Neural Networks (GNNs) …

Despite the impressive performance of Artificial Intelligence (AI) systems, their robustness
remains elusive and constitutes a key issue that impedes large-scale adoption. Besides …

The development of metaverses and virtual worlds on various platforms, including mobile
devices, has led to the growth of applications in virtual reality (VR) and augmented reality …