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3038 Hennepin Ave Minneapolis, MN
612-822-4611
Physical Biometrics for Hardware Security of DSP and Machine Learning Coprocessors

Physical Biometrics for Hardware Security of DSP and Machine Learning Coprocessors

Hardcover

Series: Materials, Circuits and Devices

Technology & Engineering

ISBN10: 183953821X
ISBN13: 9781839538216
Publisher: Institution Of Engineering & T
Published: Jul 18 2023
Pages: 356
Weight: 1.50
Height: 0.81 Width: 6.14 Depth: 9.21
Language: English

Physical Biometrics for Hardware Security of DSP and Machine Learning Coprocessors presents state-of-the art explanations for detective control-based security and protection of digital signal processing (DSP) and machine learning coprocessors against hardware threats. Such threats include intellectual property (IP) abuse and misuse, for example, fraudulent claims of IP ownership and IP piracy. DSP coprocessors such as finite impulse response filters, image processing filters, discrete Fourier transform, and JPEG compression hardware are extensively utilized in several real-life applications. Further, machine learning coprocessors such as convolutional neural network (CNN) hardware IP cores play a vital role in several applications such as face recognition, medical imaging, autonomous driving, and biometric authentication, amongst others.

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