Feb 23, 2021 · We show that the switch to gradient-based reliability attacks makes it possible to combine reliability attacks, weight constraints, and Logistic Regression (LR ...
Aug 11, 2020 · The Interpose PUF (iPUF), which has been introduced at CHES 2019, was explicitly designed with state-of-the-art machine-learning attacks in mind ...
Feb 23, 2021 · Combining Optimization Objectives: New. Modeling Attacks on Strong PUFs. Johannes Tobisch. 1. , Anita Aghaie. 2 and Georg T. Becker. 3. 1 Max ...
iPUFs are harder to break than regular XOR Arbiter PUFs, and the switch to gradient-based reliability attacks makes it possible to combine reliability ...
Strong Physical Unclonable Functions (PUFs), as a promising security primitive, are supposed to be a lightweight alternative to classical cryptography for ...
Combining optimization objectives: new modeling attacks on strong PUFs · Johannes Tobisch · Anita Aghaie · Georg T. Becker.
Apr 25, 2024 · Combining Optimization Objectives: New Modeling Attacks on Strong PUFs. ... Optimization Objectives: New Machine-Learning Attacks on Strong PUFs ...
Sep 18, 2024 · The framework consists of two novel attack methods against a wide range of PUF families, including XOR APUFs, interpose PUFs, and bistable ring ...
In this study, we investigate the ability of new Deep Learning (DL)-based technique as potential modeling attacks against more complicated PUF structures.