Two sides of the same coin : boons and banes of machine learning in hardware security

• Main Authors: Liu, Wenye, Chang, Chip Hong, Wang, Xueyang, Liu, Chen, Fung, Jason M., Mohammad Ebrahimabadi, Karimi, Naghmeh, Meng, Xingyu, Basu, Kanad
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering::Computer hardware, software and systems; Hardware Security; Hardware Trojan; Physically Unclonable Functions; Edge AI; Physical Attacks
• Online Access: https://hdl.handle.net/10356/155876
• Institution: Nanyang Technological University

The last decade has witnessed remarkable research advances at the intersection of machine learning (ML) and hardware security. The confluence of the two technologies has created many interesting and unique opportunities, but also left some issues in their wake. ML schemes have been extensively used...