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 …

Due to their proven efficiency, machine-learning systems are deployed in a wide range of
complex real-life problems. More specifically, Spiking Neural Networks (SNNs) emerged as …

Traditional learning-based approaches for runtime hardware Trojan (HT) detection require
complex and expensive on-chip data acquisition frameworks, and thus incur high area and …

Compute-intensive platforms such as micro-servers and embedded systems have already
undergone a shift from a single-chip to multichip architecture to achieve better yield and …

To counteract logic-testing methods and trust verification methods for hardware Trojan (HT)
detection, two HT design strategies based on high-low probability and partitioned …

This paper explores an intrusion mechanism to microprocessors using illegal instructions,
namely hidden instruction Trojan (HIT). It uses a low-probability sequence consisting of …