ylsung / pytorch-adversarial-training
PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
☆250Updated 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
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆443Updated 9 months ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆534Updated 2 years ago
- PyTorch Implementation of Adversarial Training for Free!☆245Updated 3 years ago
- Empirical tricks for training robust models (ICLR 2021)☆253Updated last year
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆495Updated 3 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆147Updated 4 years ago
- PyTorch library for adversarial attack and training☆145Updated 6 years ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆198Updated 2 years ago
- This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.☆165Updated 4 years ago
- Simple pytorch implementation of FGSM and I-FGSM☆288Updated 7 years ago
- ☆157Updated 4 years ago
- A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"☆154Updated 5 years ago
- Provable adversarial robustness at ImageNet scale☆387Updated 5 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Updated last year
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆706Updated last month
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆693Updated 11 months ago
- pytorch-tiny-imagenet☆175Updated last year
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆141Updated 5 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆210Updated 2 years ago
- Pytorch reimplementation of "One pixel attack for fooling deep neural networks"☆85Updated 7 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆96Updated 3 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆187Updated 4 years ago
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆60Updated 6 years ago
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆505Updated last year
- Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]☆164Updated 4 years ago
- A challenge to explore adversarial robustness of neural networks on MNIST.☆752Updated 3 years ago
- A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"☆57Updated 5 years ago
- Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…☆174Updated last year
- ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks☆169Updated 3 years ago
- a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).☆270Updated 4 years ago