Hybrid neural network is protected against adversarial attacks using various defense techniques, including input transformation, randomization, and adversarial training.
image-quilting differential-privacy quantum-classical adversarial-training random-rotation white-box-attacks hybrid-neural-network targetted-attacks randomization-defense random-cropping compounded-attacks input-transformation-defense adversarial-logit-pairing random-resizing-and-padding
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Updated
Sep 4, 2024 - Jupyter Notebook