A project to train a UNET model to generate adversarial examples on the CIFAR-10 dataset that can fool a variety of state-of-the-art classification models
Credit to Huy Phan et al for the pretrained models used in this project: https://github.com/huyvnphan/PyTorch_CIFAR10