Stealthy and robust glitch injection attack on deep learning accelerator for target with variational viewpoint

Stealthy and robust glitch injection attack on deep learning accelerator for target with variational viewpoint

Deep neural network (DNN) accelerators overcome the power and memory walls for executing neural-net models locally on edge-computing devices to support sophisticated AI applications. The advocacy of 'model once, run optimized anywhere' paradigm introduces potential new security threat to e...

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Bibliographic Details
Main Authors: Liu, Wenye, Chang, Chip-Hong, Zhang, Fan
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2021
Subjects:
Engineering::Electrical and electronic engineering::Integrated circuits
Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Artificial Intelligence
Deep Learning
Online Access:https://hdl.handle.net/10356/146196

Internet

https://hdl.handle.net/10356/146196

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