Graphene-based physically unclonable functions that are reconfigurable and resilient to machine learning attacks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Instrumentation,Electronic, Optical and Magnetic Materials
Link
http://www.nature.com/articles/s41928-021-00569-x.pdf
Reference59 articles.
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5. Suh, G. E. & Devadas, S. Physical unclonable functions for device authentication and secret key generation. In 2007 44th ACM/IEEE Design Automation Conference 9–14 (IEEE, 2007).
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