Biblio

Artificial Intelligence (AI) and Machine Learning (ML) techniques have found use in many fields, including hardware-based security defenses and novel threats to hardware security. In this paper, we briefly examine the growing overlap between AI/ML and hardware for security, where AI/ML techniques provide practitioners with new ways to monitor runtime behavior but also provide new tools for attackers to steal secret information. We also explore how AI/ML is reshaping concerns for improving the security of hardware, particularly as AI/ML appear throughout the design flow. While AI/ML techniques contribute towards better hardware Trojan detection, improved design turnaround time, and design space exploration, such techniques may also introduce new threat vectors into the supply chain. With these in mind, we present some potential challenges and new directions at these intersections, giving new insights into how hardware security, alongside AI/M,L advances.