fra31 / auto-attack
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
☆683Updated 10 months ago
Alternatives and similar repositories for auto-attack:
Users that are interested in auto-attack are comparing it to the libraries listed below
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆702Updated last month
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆491Updated 3 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆531Updated last year
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆442Updated 7 months ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆930Updated last year
- Provable adversarial robustness at ImageNet scale☆383Updated 5 years ago
- Related papers for robust machine learning☆568Updated last year
- A challenge to explore adversarial robustness of neural networks on MNIST.☆744Updated 2 years ago
- PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.☆248Updated 4 years ago
- A Toolbox for Adversarial Robustness Research☆1,326Updated last year
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆501Updated last year
- Robust evasion attacks against neural network to find adversarial examples☆816Updated 3 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆210Updated 2 years ago
- PyTorch implementation of adversarial attacks [torchattacks]☆1,972Updated 8 months ago
- Empirical tricks for training robust models (ICLR 2021)☆250Updated last year
- This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.☆162Updated 4 years ago
- PyTorch Implementation of Adversarial Training for Free!☆244Updated 3 years ago
- Simple pytorch implementation of FGSM and I-FGSM☆284Updated 7 years ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆197Updated last year
- Library containing PyTorch implementations of various adversarial attacks and resources☆151Updated 3 weeks ago
- a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).☆265Updated 4 years ago
- A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"☆152Updated 5 years ago
- Implementation of Papers on Adversarial Examples☆394Updated last year
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Updated last year
- Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]☆160Updated 4 years ago
- ☆156Updated 4 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆146Updated 4 years ago
- This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.☆225Updated 5 years ago
- Pytorch implementation of convolutional neural network adversarial attack techniques☆356Updated 6 years ago
- A unified benchmark problem for data poisoning attacks☆153Updated last year