1Konny / FGSM
Simple pytorch implementation of FGSM and I-FGSM
☆282Updated 6 years ago
Alternatives and similar repositories for FGSM:
Users that are interested in FGSM are comparing it to the libraries listed below
- A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition☆244Updated 5 years ago
- PyTorch Implementation of Adversarial Training for Free!☆242Updated 3 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆441Updated 6 months ago
- PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.☆246Updated 4 years ago
- Improving Transferability of Adversarial Examples with Input Diversity☆162Updated 5 years ago
- a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).☆264Updated 4 years ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆140Updated last year
- PyTorch library for adversarial attack and training☆143Updated 6 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆210Updated 2 years ago
- A pytorch implementation of "Explaining and harnessing adversarial examples"☆66Updated 5 years ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆196Updated 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
- Mitigating Adversarial Effects Through Randomization☆119Updated 6 years ago
- A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"☆150Updated 5 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆489Updated 3 years ago
- Pytorch reimplementation of "One pixel attack for fooling deep neural networks"☆84Updated 6 years ago
- ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks☆167Updated 3 years ago
- A targeted adversarial attack method, which won the NIPS 2017 targeted adversarial attacks competition☆131Updated 6 years ago
- Generative Adversarial Perturbations (CVPR 2018)☆137Updated 4 years ago
- Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)☆236Updated 5 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆529Updated last year
- The code for ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples (CVPR2019)☆112Updated 2 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Updated last year
- Implementation of Papers on Adversarial Examples☆391Updated last year
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆144Updated 4 years ago
- Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]☆156Updated 4 years ago
- Countering Adversarial Image using Input Transformations.☆491Updated 3 years ago
- This is PyTorch Implementation of Universal Adversarial Perturbation (https://arxiv.org/abs/1610.08401)☆43Updated 5 years ago
- This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.☆223Updated 5 years ago
- The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL☆232Updated 6 years ago