Simple example notebooks using PyTorch
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Updated
Oct 20, 2017 - Jupyter Notebook
Simple example notebooks using PyTorch
Simple examples done in MxNet
Tensorflow Implementation of Adversarial Attack to Capsule Networks
PyTorch library for adversarial attack and training
implement Kervolutional Neural Networks (CVPR, 2019) and compare with CNN under the white box attack
Adversarial Attack using a DCGAN
FGSM(Fast Gradient Sign Method)
Implementing white box adversarial attacks on parameters and architecture of CNN in PyTorch
Reproduce multiple adversarial attack methods
Repository consists of pre-trained CNN model in pytorch, hitting 89% on Fashion MNIST dataset. Adversarial attack was implemented on a given model. Results are below.
Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-28-10 on cifar-10. Sample code is re-usable despite changing the model or dataset.
WideResNet implementation on MNIST dataset. FGSM and PGD adversarial attacks on standard training, PGD adversarial training, and Feature Scattering adversarial training.
Implementation of FGSM (Fast Gradient Sign Method) attack on fine-tuned MobileNet architecture trained for flood detection in images.
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