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ericyoc / hnn_attack_two_diff_defense_choices_poc

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Hybrid neural network model is protected against adversarial attacks using either adversarial training or randomization defense techniques

mnist-dataset quantum-classical adversarial-attacks adversarial-training random-rotation classification-models emnist-dataset white-box-attacks hybrid-neural-network targetted-attacks randomization-defense random-resizing random-cropping combined-randomization compounded-attacks
  • Updated Sep 4, 2024
  • Jupyter Notebook

ericyoc / hnn_attack_three_diff_defense_choices_poc

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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
  • Updated Sep 4, 2024
  • Jupyter Notebook

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