TY - GEN
T1 - Challenges and New Directions for AI and Hardware Security
AU - Tan, Benjamin
AU - Karri, Ramesh
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85090589238&partnerID=8YFLogxK
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U2 - 10.1109/MWSCAS48704.2020.9184612
DO - 10.1109/MWSCAS48704.2020.9184612
M3 - Conference contribution
AN - SCOPUS:85090589238
T3 - Midwest Symposium on Circuits and Systems
SP - 277
EP - 280
BT - 2020 IEEE 63rd International Midwest Symposium on Circuits and Systems, MWSCAS 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 63rd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2020
Y2 - 9 August 2020 through 12 August 2020
ER -