
Delay-based PUFs are vulnerable to machine learning attacks, and a generic framework can efficiently model various PUF types with minimal adversarial knowledge.


coremsg

delay-based-pufs-attack-analysis-with-minimal-adversary-model


Delay-based PUFs Attack Analysis with Minimal Adversary Model


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The author presents a generic framework for attacking delay-based PUFs with minimal adversarial knowledge, showcasing successful attacks on various PUF types. The approach allows for fair and impartial comparison of performance across different PUF designs.


Attacking-Delay-based-PUFs-with-Minimal-Adversary-Model-A-Comprehensive-Analysis


Attacking Delay-based PUFs with Minimal Adversary Model: A Comprehensive Analysis
