ylsung / pytorch-adversarial-trainingLinks
PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
☆252Updated 4 years ago
Alternatives and similar repositories for pytorch-adversarial-training
Users that are interested in pytorch-adversarial-training are comparing it to the libraries listed below
Sorting:
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆445Updated last year
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆543Updated 2 years ago
- PyTorch Implementation of Adversarial Training for Free!☆248Updated 4 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆501Updated 3 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆151Updated 4 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆142Updated 5 years ago
- PyTorch library for adversarial attack and training☆146Updated 6 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Updated last year
- Empirical tricks for training robust models (ICLR 2021)☆255Updated 2 years ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆198Updated 2 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆210Updated 3 years ago
- ☆157Updated 4 years ago
- This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.☆169Updated 4 years ago
- Simple pytorch implementation of FGSM and I-FGSM☆290Updated 7 years ago
- Provable adversarial robustness at ImageNet scale☆396Updated 6 years ago
- pytorch-tiny-imagenet☆180Updated last year
- [ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation☆54Updated 2 months ago
- Related papers for robust machine learning☆566Updated 2 years ago
- Adversarial Distributional Training (NeurIPS 2020)☆63Updated 4 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆74Updated last year
- This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.☆227Updated 5 years ago
- A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"☆156Updated 5 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆714Updated last year
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆97Updated 3 years ago
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆60Updated 7 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆187Updated 4 years ago
- Pytorch reimplementation of "One pixel attack for fooling deep neural networks"☆85Updated 7 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆58Updated 5 years ago
- Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…☆175Updated last year
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 3 years ago