Shypd.aiThe largest open index of AI toolsone-pixel-attack-keras is an open-source Coding & Development tool that provides a Keras implementation of the "One pixel attack for fooling deep neural networks." It uses differential evolution on Cifar10 and ImageNet datasets to demonstrate vulnerabilities.
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one-pixel-attack-keras is an open-source project offering a Keras implementation of the "One pixel attack for fooling deep neural networks." This tool demonstrates how minimal perturbations, specifically changing just one pixel's color, can cause deep neural networks to misclassify images. It leverages differential evolution on datasets like Cifar10 and ImageNet to iteratively generate adversarial images and minimize the network's classification confidence. The project includes tutorial notebooks, various CNN models (LeNet, ResNet, DenseNet, CapsNet), and scripts for training and attacking models. It's particularly useful for understanding and researching the robustness and vulnerabilities of deep learning models to adversarial attacks.
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