mahyarnajibi / FreeAdversarialTraining
PyTorch Implementation of Adversarial Training for Free!
☆244Updated 3 years ago
Alternatives and similar repositories for FreeAdversarialTraining:
Users that are interested in FreeAdversarialTraining are comparing it to the libraries listed below
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆443Updated 7 months ago
- PyTorch library for adversarial attack and training☆144Updated 6 years ago
- PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.☆247Updated 4 years ago
- Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…☆174Updated 10 months ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Updated last year
- Improving Transferability of Adversarial Examples with Input Diversity☆162Updated 5 years ago
- Empirical tricks for training robust models (ICLR 2021)☆251Updated last year
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆530Updated last year
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆145Updated 4 years ago
- This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.☆224Updated 5 years ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆196Updated last year
- Simple pytorch implementation of FGSM and I-FGSM☆282Updated 6 years ago
- Generative Adversarial Perturbations (CVPR 2018)☆137Updated 4 years ago
- Mitigating Adversarial Effects Through Randomization☆119Updated 6 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆140Updated 4 years ago
- ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks☆168Updated 3 years ago
- ☆156Updated 4 years ago
- A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"☆151Updated 5 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆491Updated 3 years ago
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Updated 4 years ago
- Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)☆238Updated 5 years ago
- Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"☆134Updated 4 years ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆140Updated last year
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆59Updated 5 years ago
- A targeted adversarial attack method, which won the NIPS 2017 targeted adversarial attacks competition☆131Updated 6 years ago
- Robustness vs Accuracy Survey on ImageNet☆98Updated 3 years ago
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆90Updated 4 years ago
- Pytorch reimplementation of "One pixel attack for fooling deep neural networks"☆84Updated 7 years ago
- Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"☆176Updated 4 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆186Updated 4 years ago