fgsm 话题在 GitHub 上没有填写简介，这里按 Star 数汇总最相关的热门仓库。
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.
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
对抗性例子论文的实施
通过攻击检测：通过卧底攻击检测敌对样本
Tensorflow Implementation of Adversarial Attack to Capsule Networks
PyTorch library for adversarial attack and training
This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.
Implementation of gradient-based adversarial attack(FGSM,MI-FGSM,PGD)
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
该项目在 GitHub 上没有填写描述
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.
Detection of network traffic anomalies using unsupervised machine learning
Reproduce multiple adversarial attack methods
Paddle-Adversarial-Toolbox (PAT) is a Python library for Deep Learning Security based on PaddlePaddle.
implement Kervolutional Neural Networks (CVPR, 2019) and compare with CNN under the white box attack
六代兴亡如梦，苒苒惊时月。纵使岁寒途远，此志应难夺。
Adversarial attack generation techniques for CIFAR10 based on Pytorch: L-BFGS, FGSM, I-FGSM, MI-FGSM, DeepFool, C&W, JSMA, ONE-PIXEL, UPSET
Adversarial Attack on 3D U-Net model: Brain Tumour Segmentation.
using adversarial attacks to confuse deep-chicken-terminator 🛡️ 🐔