Metaverse is expected to emerge as a new paradigm for the next-generation Internet,
providing fully immersive and personalized experiences to socialize, work, and play in self …

Artificial intelligence systems are increasingly being used in industrial applications, security
and military contexts, disaster response complexes, policing and justice practices, finance …

Currently, Machine Learning (ML) is becoming ubiquitous in everyday life. Deep Learning
(DL) is already present in many applications ranging from computer vision for medicine to …

Abstract Machine learning (ML), especially deep neural networks (DNNs) have been widely
used in various applications, including several safety-critical ones (eg autonomous driving) …

Currently, machine learning (ML) techniques are at the heart of smart cyber-physical
systems (CPSs) and Internet-of-Things (loT). This article discusses various challenges and …

The problem of adversarial examples, evasion attacks on machine learning classifiers, has
proven extremely difficult to solve. This is true even in the black-box threat model, as is the …

In the Machine Learning era, Deep Neural Networks (DNNs) have taken the spotlight, due to
their unmatchable performance in several applications, such as image processing, computer …

The use of artificial intelligence (AI) at the edge is transforming every aspect of the lives of
human beings from scheduling daily activities to personalized shopping recommendations …

Adversarial attacks, which attract explosive rese-arch attention in recent years, have
achieved fantastic success in fooling neural networks, especially for image-classification …

The security and privacy concerns along with the amount of data that is required to be
processed on regular basis has pushed processing to the edge of the computing systems …