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A Problem-tailored Adversarial Deep Neural Network-Based Attack Model for Feed-Forward Physical Unclonable Functions
Author(s) -
Ahmad O. Aseeri
Publication year - 2022
Publication title -
acm transactions on design automation of electronic systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.266
H-Index - 51
eISSN - 1557-7309
pISSN - 1084-4309
DOI - 10.1145/3557742
Subject(s) - physical unclonable function , computer science , arbiter , exploit , artificial neural network , randomness , vulnerability (computing) , hardware security module , deep learning , computer engineering , embedded system , cryptography , artificial intelligence , computer security , computer hardware , statistics , mathematics

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