Pytorch implementation of convolutional neural network adversarial attack techniques
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Dec 3, 2018 - Python
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fooling-images
Here are 5 public repositories matching this topic...
My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
numpy svm pytorch lstm dropout gan style-transfer rnn image-captioning convolutional-neural-networks network-visualization knn cifar10 saliency-map batchnorm softmax-classifier cs231n-assignment fooling-images class-visualization coco-dataset
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Sep 5, 2018 - Jupyter Notebook
Implemented Vanilla RNN and LSTM networks, combined these with pretrained VGG-16 on ImageNet to build image captioning models on Microsoft COCO dataset. Explored use of image gradients for generating new images and techniques used are Saliency Maps, Fooling Images and Class Visualization. Implemented image Style Transfer technique from 'Image St…
numpy pytorch lstm gan style-transfer rnn mnist-dataset saliency-map dc-gan cs231n-assignment fooling-images class-visualization coco-dataset ls-gan microsoft-coco
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Aug 31, 2018 - Jupyter Notebook
Implementing image saliency maps, fooling images and style transfer using neural networks.
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Oct 20, 2019 - Jupyter Notebook
A sample code for fooling ConvNets (only AlexNet at the moment)
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Jan 8, 2018 - Jupyter Notebook
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