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Title:
PAC Learnability of iPUF Variants
Authors: Durba Chatterjee, Debdeep Mukhopadhyay, Aritra Hazra
Abstract:Interpose PUF~(iPUF) is a strong PUF construction that was shown to be vulnerable against empirical machine learning as well as PAC learning attacks. In this work, we extend the PAC Learning results of Interpose PUF to prove that the variants of iPUF are also learnable in the PAC model under the Linear Threshold Function representation class.
ePrint: https://eprint.iacr.org/2022/165
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