Anomaly detection is of paramount importance in many real-world domains characterized by
evolving behavior, such as monitoring cyber-physical systems, human conditions and …

Detecting malware has become extremely important with the increasing exposure of
computational systems and mobile devices to online services. However, the rapidly evolving …

Anomaly detection is a recognized problem with high significance and impact in many real-
world settings. Continual anomaly detection is an emerging paradigm that allows for the …

Detecting relevant change points in time-series data is a necessary task in various
applications. Change point detection methods are effective techniques for discovering …

Anomaly detection tools and methods enable key analytical capabilities in modern
cyberphysical and sensor-based systems. Despite the fast-paced development in deep …