one-pixel-attack-keras
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Hyperparticle
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
It seems like imports are broken, which version of tensorflow/keras has been used? `ImportError: cannot import name 'Adam' from 'keras.optimizers'` in line `from networks.pure_cnn import PureCnn`
I trained the transformer architecture in the below github repo: https://github.com/keras-team/keras-io/blob/master/examples/vision/image_classification_with_vision_transformer.py I also have a .h5 file of the saved model added to the networks/models How do I try the...
There are some preliminary results of the one-pixel attack performed on Cifar10 in the repo, but it is not quite as comprehensive as seen in https://arxiv.org/abs/1710.08864. It would be nice...
The paper, [Attacking Convolutional Neural Network using Differential Evolution](https://arxiv.org/abs/1804.07062v1), explains how to tweak the one pixel attack to produce adversarial images that minimize the amount of perturbation in an image....
Modify [2_one-pixel-attack-imagenet.ipynb](https://github.com/Hyperparticle/one-pixel-attack-keras/blob/master/2_one-pixel-attack-imagenet.ipynb) to download a sample subset of ImageNet files with appropriate labels. The files should be preprocessed as to be ready for the attack.
Similar to [1_one-pixel-attack-cifar10.ipynb](https://github.com/Hyperparticle/one-pixel-attack-keras/blob/master/1_one-pixel-attack-cifar10.ipynb), perform a series of targeted/targeted adversarial attacks using differential evolution and collect results. This is a continuation of #3.
I want to conduct a single pixel attack experiment on my own data set. What should I do?
I fixed the capitalization of "CIFAR-10" in the README.md file.
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Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet