Książka Convolutional Neural Network Accelerators Basel Halak

Convolutional Neural Network Accelerators

From Basic Design Principles to Advanced Security Applications

Autor: Basel Halak
Język: Angielski
Oprawa: Twarda
Wydawca: Springer, Berlin
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-13 dni
557.88
This book provides comprehensive coverage of the state-of-the-art in Convolutional Neural Network (C...

Informacje o książce

Autor
Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2025
strony
200
EAN
9783032085139
Enbook ID
49615556
Waga
551
Wymiary
155 x 235

Pełny opis

This book provides comprehensive coverage of the state-of-the-art in Convolutional Neural Network (CNN) hardware accelerator design, security, and its applications in hardware security. The first part gives a foundational understanding of CNN architectures, emphasizing their computational demands and the necessity for specialized hardware solutions. It also proposes an emulation method with open-source code to mimic CNN hardware accelerator behavior. The second part presents security applications of CNN models, featuring a case study in Network-on-Chip security. It covers threat modeling, countermeasures, and the use of alternative machine learning models to CNNs. The third part explains security threats throughout the AI model production lifecycle, including software vulnerabilities and hardware risks, and explores techniques to enhance the robustness of CNN hardware accelerators, focusing on preventing hardware Trojan and backdoor attacks and analyzing the vulnerability levels of different CNN layers.

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