Titlebook: Machine Learning for Embedded System Security; Basel Halak Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive lice

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Book 2022utions for anti-tamper design, IC Counterfeits detection and hardware Trojan identification. It also explains the latest development of deep-learning-based modeling attacks on physically unclonable functions and outlines the design principles of more resilient PUF architectures. The second discusses

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The Physical Unclonable Functions Fight: State-of-the-Art Architectures and Their Performance Againsin hardware security. A PUF as defined in Christoph Bhm and Maximilian Hofer (., Springer Publishing Company, Incorporated, 2012) is “a physical entity that uses production variability to generate a device-specific output which usually is a binary number.” PUFs depend on the variability in the hardw

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JAUNT

978-3-030-94180-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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