locuslab / fast_adversarial
[ICLR 2020] A repository for extremely fast adversarial training using FGSM
☆435Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for fast_adversarial
- PyTorch Implementation of Adversarial Training for Free!☆239Updated 3 years ago
- PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.☆242Updated 4 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆488Updated 3 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆519Updated last year
- Provable adversarial robustness at ImageNet scale☆369Updated 5 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆144Updated 4 years ago
- Empirical tricks for training robust models (ICLR 2021)☆250Updated last year
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆669Updated 2 weeks ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆656Updated 6 months ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆195Updated last year
- Simple pytorch implementation of FGSM and I-FGSM☆276Updated 6 years ago
- A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"☆146Updated 5 years ago
- This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.☆157Updated 3 years ago
- This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.☆221Updated 5 years ago
- PyTorch library for adversarial attack and training☆143Updated 5 years ago
- Related papers for robust machine learning☆564Updated last year
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆211Updated 2 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆124Updated last year
- ☆153Updated 3 years ago
- a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).☆264Updated 3 years ago
- Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]☆150Updated 4 years ago
- ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks☆166Updated 3 years ago
- A unified benchmark problem for data poisoning attacks☆151Updated last year
- Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…☆173Updated 6 months ago
- Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".☆122Updated 4 years ago
- Improving Transferability of Adversarial Examples with Input Diversity☆162Updated 5 years ago
- Generative Adversarial Perturbations (CVPR 2018)☆136Updated 3 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆223Updated 5 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆184Updated 4 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆137Updated 4 years ago