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GitHub topics: compounded-attacks

ericyoc/hnn_attack_three_diff_defense_choices_poc

Hybrid neural network is protected against adversarial attacks using various defense techniques, including input transformation, randomization, and adversarial training.

Language: Jupyter Notebook - Size: 1 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

ericyoc/hnn_attack_two_diff_defense_choices_poc

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

Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Related Keywords
adversarial-training 2 compounded-attacks 2 hybrid-neural-network 2 quantum-classical 2 random-cropping 2 random-rotation 2 randomization-defense 2 targetted-attacks 2 white-box-attacks 2 random-resizing 1 mnist-dataset 1 emnist-dataset 1 combined-randomization 1 classification-models 1 adversarial-attacks 1 random-resizing-and-padding 1 input-transformation-defense 1 image-quilting 1 differential-privacy 1 adversarial-logit-pairing 1