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Simple Black Box Adversarial Perturbations for Deep Networks

Implementation of 'Simple Black-Box Adversarial Perturbations for Deep Networks' https://openreview.net/pdf?id=SJCscQcge in Keras

Running it

  • python cifar100.py to train a basic CNN for cifar100 and save that file.
  • python find_good.py <model> to go through cifar100 test dataset and find a good image (as defined in the paper).
  • python perturb.py <KERAS_MODEL> <IMAGE_in_NUMPY> : currently works for cifar images only.

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Implementation of 'Simple Black-Box Adversarial Perturbations for Deep Networks' https://openreview.net/pdf?id=SJCscQcge

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