FeSHI: Feature Map-Based Stealthy Hardware Intrinsic Attack

FeSHI: Feature Map-Based Stealthy Hardware Intrinsic Attack

Convolutional Neural Networks (CNN) have shown impressive performance in computer vision, natural language processing, and many other applications, but they exhibit high computations and substantial memory requirements. To address these limitations, especially in resource-constrained devices, the us...

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Bibliographic Details
Main Authors: Tolulope A. Odetola, Faiq Khalid, Hawzhin Mohammed, Travis C. Sandefur, Syed Rafay Hasan
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Convolutional Neural Network
CNN
hardware security
edge intelligence
AIoT
FPGA
Online Access:https://ieeexplore.ieee.org/document/9514588/

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