Deep Learning for Computational Problems in Hardware Security
Modeling Attacks on Strong Physically Unclonable Function Circuits
Description
The book discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware security applications, in particular the techniques of launching potent modeling attacks on Physically Unclonable Function (PUF) circuits, which are promising hardware security primitives.
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‘Deep Learning for Computational Problems in Hardware Security - Santikellur, Pranesh, Chakraborty, Rajat Subhra’.
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