Fault-tolerant deep learning inference on CPU-GPU integrated edge devices with TEEs

CPU-GPU integrated edge devices and deep learning algorithms have received significant progress in recent years, leading to increasingly widespread application of edge intelligence. However, deep learning inference on these edge devices is vulnerable to Fault Injection Attacks (FIAs) that can modify...

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Veröffentlicht in:	Future generation computer systems Jg. 161; S. 404 - 414
Hauptverfasser:	Xu, Hongjian, Liao, Longlong, Liu, Xinqi, Chen, Shuguang, Chen, Jianguo, Liang, Zhixuan, Yu, Yuanlong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2024
Schlagworte:	CPU-GPU integrated edge device Deep learning Fault injection attack Fault-tolerant inference Trusted Execution Environment Deep learning Fault-tolerant inference Trusted Execution Environment Fault injection attack CPU-GPU integrated edge device
ISSN:	0167-739X
Online-Zugang:	Volltext
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