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Automatic Hardware Trojan Insertion using Machine Learning. (arXiv:2204.08580v1 [cs.CR])
April 20, 2022, 1:20 a.m. | Jonathan Cruz, Pravin Gaikwad, Abhishek Nair, Prabuddha Chakraborty, Swarup Bhunia
cs.CR updates on arXiv.org arxiv.org
Due to the current horizontal business model that promotes increasing
reliance on untrusted third-party Intellectual Properties (IPs), CAD tools, and
design facilities, hardware Trojan attacks have become a serious threat to the
semiconductor industry. Development of effective countermeasures against
hardware Trojan attacks requires: (1) fast and reliable exploration of the
viable Trojan attack space for a given design and (2) a suite of high-quality
Trojan-inserted benchmarks that meet specific standards. The latter has become
essential for the development and evaluation …
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