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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Main Authors: | Liu, Wenye, Chang, Chip-Hong, Zhang, Fan |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2021
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/146196 |
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Institution: | Nanyang Technological University |
Language: | English |
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