PyTorch implementation of adversarial attacks [torchattacks]
☆2,148Jun 29, 2024Updated last year
Alternatives and similar repositories for adversarial-attacks-pytorch
Users that are interested in adversarial-attacks-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆772Mar 31, 2025Updated 11 months ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆741May 16, 2024Updated last year
- A Toolbox for Adversarial Robustness Research☆1,365Sep 14, 2023Updated 2 years ago
- Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and…☆5,894Dec 12, 2025Updated 3 months ago
- A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX☆2,946Dec 3, 2025Updated 3 months ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆552Mar 30, 2023Updated 2 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆449Jul 25, 2024Updated last year
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆507Aug 30, 2021Updated 4 years ago
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆525Oct 15, 2023Updated 2 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆943Jan 11, 2024Updated 2 years ago
- TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.☆464Feb 27, 2026Updated 3 weeks ago
- An adversarial example library for constructing attacks, building defenses, and benchmarking both☆6,424Apr 10, 2024Updated last year
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆212May 27, 2022Updated 3 years ago
- This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.☆175Feb 17, 2021Updated 5 years ago
- Library containing PyTorch implementations of various adversarial attacks and resources☆166Nov 20, 2025Updated 4 months ago
- A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"☆159Sep 4, 2019Updated 6 years ago
- A pytorch adversarial library for attack and defense methods on images and graphs☆1,080Jun 26, 2025Updated 8 months ago
- A challenge to explore adversarial robustness of neural networks on MNIST.☆760May 3, 2022Updated 3 years ago
- Robust evasion attacks against neural network to find adversarial examples☆858Jun 1, 2021Updated 4 years ago
- PyTorch implementations of Adversarial defenses and utils.☆34Dec 25, 2023Updated 2 years ago
- Enhancing the Transferability of Adversarial Attacks through Variance Tuning☆90Feb 23, 2024Updated 2 years ago
- Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and …☆1,412Feb 15, 2023Updated 3 years ago
- This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.☆227Oct 7, 2019Updated 6 years ago
- Fantastic Robustness Measures: The Secrets of Robust Generalization [NeurIPS 2023]☆44Jan 13, 2025Updated last year
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆153Oct 15, 2020Updated 5 years ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆200Mar 27, 2023Updated 2 years ago
- Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]☆169Jul 2, 2020Updated 5 years ago
- An adversarial attack on object detectors☆149Oct 12, 2021Updated 4 years ago
- a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).☆277Dec 31, 2020Updated 5 years ago
- Empirical tricks for training robust models (ICLR 2021)☆258May 25, 2023Updated 2 years ago
- Improving Transferability of Adversarial Examples with Input Diversity☆168Apr 30, 2019Updated 6 years ago
- code for "Feature Importance-aware Transferable Adversarial Attacks"☆86Jun 9, 2022Updated 3 years ago
- ☆162Feb 26, 2021Updated 5 years ago
- A paper list for localized adversarial patch research☆162Jul 28, 2025Updated 7 months ago
- A Paperlist of Adversarial Attack on Object Detection☆124Mar 16, 2023Updated 3 years ago
- A new adversarial purification method that uses the forward and reverse processes of diffusion models to remove adversarial perturbations…☆336Jan 29, 2023Updated 3 years ago
- Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples☆116Jul 21, 2022Updated 3 years ago
- Provable adversarial robustness at ImageNet scale☆407May 20, 2019Updated 6 years ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆141Aug 23, 2023Updated 2 years ago