An Efficient Approach to Model Strong PUF with Multi-Layer Perceptron using Transfer Learning-Reference-Cited by-同舟云学术

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An Efficient Approach to Model Strong PUF with Multi-Layer Perceptron using Transfer Learning

Published:2022-04-06 Issue: Volume: Page:
ISSN:
Container-title:2022 23rd International Symposium on Quality Electronic Design (ISQED)
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Author:

Ali-Pour Amir¹,Hely David¹,Beroulle Vincent¹,Di Natale Giorgio²

Affiliation:

1. Univ. Grenoble Alpes,Grenoble INP, LCIS,Valence,France,26000

2. Univ. Grenoble Alpes,CNRS, Grenoble INP, TIMA,Grenoble,France,38000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9806045/9806137/09806257.pdf?arnumber=9806257

Reference18 articles.

1. A fast deep learning method for security vulnerability study of xor pufs;mursi;Electronics,2020

2. Efficient Transfer Learning on Modeling Physical Unclonable Functions

3. PUFs Deep Attacks: Enhanced modeling attacks using deep learning techniques to break the security of double arbiter PUFs

4. Modeling attacks on physical unclonable functions;ruhrmair,0

5. An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Non-Invasive Attack on Ring Oscillator-Based PUFs Through Localized X-Ray Irradiation;2024 IEEE International Symposium on Hardware Oriented Security and Trust (HOST);2024-05-06

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