Deep Learning for Computational Problems in Hardware Security Modeling Attacks on Strong Physically Unclonable Function Circuits /

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 promi...

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書誌詳細
主要な著者: Santikellur, Pranesh (著者), Chakraborty, Rajat Subhra (著者)
団体著者: SpringerLink (Online service)
フォーマット: 電子媒体 eBook
言語:英語
出版事項: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
版:1st ed. 2023.
シリーズ:Studies in Computational Intelligence, 1052
主題:
オンライン・アクセス:https://doi.org/10.1007/978-981-19-4017-0
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