fooling-images

There are 5 repositories under fooling-images topic.

  • utkuozbulak/pytorch-cnn-adversarial-attacks

    Pytorch implementation of convolutional neural network adversarial attack techniques

    Language:Python3529161

  • srinadhu/CS231n

    My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

    Language:Jupyter Notebook400223

  • srinadhu/CS231n_assignment3

    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 Style Transfer Using Convolutional Neural Networks'. Implemented and trained GAN, LS-GAN and DC-GAN on MNIST dataset to produce images that resemble samples from MNIST, DC-GAN gave best resembling images.

    Language:Jupyter Notebook4001

  • sharma-n/DL_ImageProcessing

    Implementing image saliency maps, fooling images and style transfer using neural networks.

    Language:Jupyter Notebook1201

  • shahrukhqasim/FoolingConvNets

    A sample code for fooling ConvNets (only AlexNet at the moment)

    Language:Jupyter Notebook40