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 …

Rapid growth in IoT technology demands the need for the emergence of new IoT devices.
IoT devices vary in terms of shape, size, storage, battery life, and computational power …

Abstract Model extraction attacks are considered to be a significant avenue of vulnerability in
machine learning. In model extraction attacks, the attacker repeatedly queries a victim model …

There has been significant progress over the past seven years in model reverse engineering
(RE) for neural network (NN) hardware. Although there has been systematization of …

Hardware security has witnessed a promising solution with the emergence of SRAM-PUFs.
This research paper presents a comprehensive analysis of SRAM-PUFs, focusing on their …

The extraction threat to machine learning models is considered. Most contemporary
methods of defense against the extraction of computational machine learning models are …