Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

Implementation of Papers on Adversarial Examples

Tensorflow Implementation of Adversarial Attack to Capsule Networks

PyTorch library for adversarial attack and training

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

The first real-world adversarial attack on MTCNN face detetction system to date

implement Kervolutional Neural Networks (CVPR, 2019) and compare with CNN under the white box attack

using adversarial attacks to confuse deep-chicken-terminator 🛡️ 🐔

六代兴亡如梦，苒苒惊时月。纵使岁寒途远，此志应难夺。

Reproduce multiple adversarial attack methods

Fast Gradient Sign Method for Adversarial Attack (PyTorch)

Package for adversarial attack in pytorch

Detection by Attack: Detecting Adversarial Samples by Undercover Attack

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.

PCA , CNN, FGSM using MNIST

Simple example notebooks using PyTorch

Adversarial Attack on 3D U-Net model: Brain Tumour Segmentation.

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.

Simple examples done in MxNet

Implementing white box adversarial attacks on parameters and architecture of CNN in PyTorch

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.

Convolutional Neural Networks

FGSM(Fast Gradient Sign Method)

FGSM attack Pytorch module for semantic segmentation networks, with examples provided for Deeplab V3.

Adversarial Attack using a DCGAN