mathcbc / advGAN_pytorch
a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).
☆265Updated 4 years ago
Alternatives and similar repositories for advGAN_pytorch:
Users that are interested in advGAN_pytorch are comparing it to the libraries listed below
- Simple pytorch implementation of FGSM and I-FGSM☆281Updated 6 years ago
- A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"☆149Updated 5 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆211Updated 2 years ago
- Tensorflow implementation of Generating Adversarial Examples with Adversarial Networks☆43Updated 5 years ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆140Updated last year
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆93Updated 4 years ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆196Updated last year
- A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"☆55Updated 5 years ago
- Code for "Adversarial Camouflage: Hiding Physical World Attacks with Natural Styles" (CVPR 2020)☆88Updated last year
- Improving Transferability of Adversarial Examples with Input Diversity☆163Updated 5 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆439Updated 5 months ago
- PyTorch Implementation of Adversarial Training for Free!☆242Updated 3 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆144Updated 4 years ago
- Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)☆234Updated 5 years ago
- This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defe…☆125Updated 4 years ago
- This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.☆162Updated 3 years ago
- PyTorch library for adversarial attack and training☆143Updated 6 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆490Updated 3 years ago
- Using relativism to improve GAN-based Adversarial Attacks. 🦾☆41Updated last year
- Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)☆114Updated 2 years ago
- A PyTorch implementation of universal adversarial perturbation (UAP) which is more easy to understand and implement.☆53Updated 2 years ago
- A Implementation of IJCAI-19(Transferable Adversarial Attacks for Image and Video Object Detection)☆90Updated 5 years ago
- PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.☆246Updated 4 years ago
- Enhancing the Transferability of Adversarial Attacks through Variance Tuning☆84Updated 10 months ago
- Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]☆152Updated 4 years ago
- An adversarial attack on object detectors☆144Updated 3 years ago
- A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition☆244Updated 5 years ago
- Generative Adversarial Perturbations (CVPR 2018)☆137Updated 4 years ago
- Pytorch implementation of Adversarial Patch on ImageNet (arXiv: https://arxiv.org/abs/1712.09665)☆57Updated 4 years ago
- This is PyTorch Implementation of Universal Adversarial Perturbation (https://arxiv.org/abs/1610.08401)☆43Updated 5 years ago