Hardware trojans that corrupt microring resonators in optical CNN accelerators can cut accuracy by up to 80%, and L2 regularization plus noise-aware training recovers much of the loss.
Deep defense: Training dnns with improved adversarial robustness ,
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SafeLight: Enhancing Security in Optical Convolutional Neural Network Accelerators
Hardware trojans that corrupt microring resonators in optical CNN accelerators can cut accuracy by up to 80%, and L2 regularization plus noise-aware training recovers much of the loss.