Paper 2022/165 Original: eprint.iacr.org/2022/165 ↗
PAC Learnability of iPUF Variants
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.
Metadata
- Available format(s)
PDF- Category
- Foundations
- Publication info
- Preprint.
- History
- 2022-02-20: last updated
- 2022-02-20: published
- Short URL
- https://ia.cr/2022/165
- License
- https://creativecommons.org/licenses/by/4.0/
BibTeX
@misc{cryptoeprint:2022/165,
author = {Durba Chatterjee and Debdeep Mukhopadhyay and Aritra Hazra},
title = {PAC Learnability of iPUF Variants},
howpublished = {Cryptology {ePrint} Archive, Paper 2022/165},
year = {2022},
url = {https://eprint.iacr.org/2022/165}
}