locuslab / fast_adversarialLinks
[ICLR 2020] A repository for extremely fast adversarial training using FGSM
☆449Updated last year
Alternatives and similar repositories for fast_adversarial
Users that are interested in fast_adversarial are comparing it to the libraries listed below
Sorting:
- PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.☆253Updated 5 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆503Updated 4 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆551Updated 2 years ago
- PyTorch Implementation of Adversarial Training for Free!☆248Updated 4 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆126Updated 2 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆152Updated 5 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆212Updated 3 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆732Updated last year
- ☆160Updated 4 years ago
- This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.☆172Updated 4 years ago
- Empirical tricks for training robust models (ICLR 2021)☆257Updated 2 years ago
- Provable adversarial robustness at ImageNet scale☆403Updated 6 years ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆199Updated 2 years ago
- Related papers for robust machine learning☆567Updated 2 years ago
- Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]☆170Updated 5 years ago
- A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"☆158Updated 6 years ago
- Simple pytorch implementation of FGSM and I-FGSM☆290Updated 7 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆141Updated 5 years ago
- A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"☆60Updated 6 years ago
- A unified benchmark problem for data poisoning attacks☆161Updated 2 years ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆754Updated 8 months ago
- This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.☆227Updated 6 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆98Updated 3 years ago
- PyTorch library for adversarial attack and training☆145Updated 6 years ago
- Library containing PyTorch implementations of various adversarial attacks and resources☆166Updated 2 weeks ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Updated 4 years ago
- Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"☆186Updated 4 years ago
- a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).☆275Updated 4 years ago
- [ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)☆80Updated 6 years ago
- Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…☆177Updated last year