Hardware Trojan detection techniques have been studied extensively. However, to develop
reliable and effective defenses, it is important to figure out how hardware Trojans are …

As “deep neural networks”(DNNs) achieve increasing accuracy, they are getting employed
in increasingly diverse applications, including security-critical applications such as medical …

Recent advances in neural networks (NNs) and their applications in deep learning
techniques have made the security aspects of NNs an important and timely topic for …

The convergence of edge computing and deep learning empowers endpoint hardwares or
edge devices to perform inferences locally with the help of deep neural network (DNN) …

Internet of Things (IoT) devices have connected millions of houses around the globe via the
internet. In the recent past, threats due to hardware Trojan (HT) in the integrated circuits (IC) …

In the smart grid's advanced metering infrastructure (AMI), smart meters (SMs) are deployed
at the customers' premises to report their electricity consumption readings to the electric …

This chapter explores an incentivized blockchain-based firmware update scheme tailored for
Autonomous Vehicles (AVs). As the number of autonomous vehicles increases, the security …

With the rising adoption of deep neural networks (DNNs) for commercial and high-stakes
applications that process sensitive user data and make critical decisions, security concerns …

The rapid growth of deep learning (DL) has raised serious concerns about users' data and
neural network (NN) models' security and privacy, particularly the risk of backdoor insertion …

The use of hardware accelerators for convolutional neural networks (CNN) is on the rise due
to the popularity of artificial intelligence in autonomous vehicles, industrial control systems …