most citedDetection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning

5 citations · 5 across the 1 of their papers we have counts for

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cs.LG2024★ 5 cited

Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning

Chenan Wang, Pu Zhao, Siyue Wang +1

Deep Neural Network (DNN) models when implemented on executing devices as the inference engines are susceptible to Fault Injection Attacks (FIAs) that manipulate model parameters t…