Hardware Trojan Attacks on the Reconfigurable Interconnections of Field-Programmable Gate Array-Based Convolutional Neural Network Accelerators and a Physically Unclonable Function-Based Countermeasure Detection Technique

Hardware Trojan Attacks on the Reconfigurable Interconnections of Field-Programmable Gate Array-Based Convolutional Neural Network Accelerators and a Physically Unclonable Function-Based Countermeasure Detection Technique

Convolutional neural networks (CNNs) have demonstrated significant superiority in modern artificial intelligence (AI) applications. To accelerate the inference process of CNNs, reconfigurable CNN accelerators that support diverse networks are widely employed for AI systems. Given the ubiquitous depl...

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Bibliographic Details
Main Authors: Jia Hou, Zichu Liu, Zepeng Yang, Chen Yang
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Micromachines
Subjects:
convolutional neural network
reconfigurable CNN accelerator
hardware Trojan
physical unclonable function
field-programmable gate array (FPGA)
Online Access:https://www.mdpi.com/2072-666X/15/1/149

Internet

https://www.mdpi.com/2072-666X/15/1/149

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