Ransomware is an ill-famed malware that has received recognition because of its lethal and
irrevocable effects on its victims. The irreparable loss caused due to ransomware requires …

Abstract Machine Learning (ML) algorithms are used to train the machines to perform
various complicated tasks that begin to modify and improve with experiences. It has become …

Abstract Out-of-distribution (OOD) detection is critical to ensuring the reliability and safety of
machine learning systems. For instance, in autonomous driving, we would like the driving …

Satellite images have drawn increasing interest from a wide variety of users, including
business and government, ever since their increased usage in important fields ranging from …

Image encryption algorithms based on Chaotic approach are becoming increasingly popular
for remotely sensed images using parallel techniques. It has been demonstrated that the …

Introduction: The growth of ubiquitous networked devices and the proliferation of
geographically dispersed 'Internet of Thing'devices have exponentially increased network …

Abstract Distributed or Collaborative Deep Learning, has recently gained more recognition
due to its major advantage of allowing two or more learning participants to contribute and …

The use of operating system API calls is a promising task in the detection of PE-type
malware in the Windows operating system. This task is officially defined as running malware …

Deep learning has presented remarkable progress in various tasks. Despite the excellent
performance, deep learning models remain not robust, especially to well-designed …

The enormous growth of services and data transmitted over the internet, the bloodstream of
modern civilization, has caused a remarkable increase in cyber attack threats. This fact has …