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…