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