ylsung / pytorch-adversarial-training
PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
☆246Updated 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☆441Updated 6 months ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆529Updated last year
- PyTorch Implementation of Adversarial Training for Free!☆242Updated 3 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆490Updated 3 years ago
- Empirical tricks for training robust models (ICLR 2021)☆253Updated last year
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆144Updated 4 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Updated last year
- This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.☆162Updated 4 years ago
- 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
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆196Updated last year
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆140Updated 4 years ago
- Provable adversarial robustness at ImageNet scale☆383Updated 5 years ago
- ☆155Updated 3 years ago
- Simple pytorch implementation of FGSM and I-FGSM☆282Updated 6 years ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆694Updated 2 weeks ago
- A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"☆150Updated 5 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
- 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
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆185Updated 4 years ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆140Updated last year
- Adversarial Distributional Training (NeurIPS 2020)☆62Updated 3 years ago
- a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).☆264Updated 4 years ago
- Improving Transferability of Adversarial Examples with Input Diversity☆162Updated 5 years ago
- Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…☆173Updated 9 months ago
- Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]☆157Updated 4 years ago
- Blackbox attacks for deep neural network models☆70Updated 6 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆679Updated 9 months ago
- Related papers for robust machine learning☆566Updated last year