A Toolbox for Adversarial Robustness Research
☆1,367Sep 14, 2023Updated 2 years ago
Alternatives and similar repositories for advertorch
Users that are interested in advertorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX☆2,959Dec 3, 2025Updated 5 months ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆743May 16, 2024Updated last year
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆552Mar 30, 2023Updated 3 years ago
- PyTorch implementation of adversarial attacks [torchattacks]☆2,158Jun 29, 2024Updated last year
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆942Jan 11, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆773Apr 14, 2026Updated 3 weeks ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆509Aug 30, 2021Updated 4 years ago
- ImageNet classifier with state-of-the-art adversarial robustness☆684Dec 31, 2019Updated 6 years ago
- Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and…☆5,963Dec 12, 2025Updated 4 months ago
- An adversarial example library for constructing attacks, building defenses, and benchmarking both☆6,430Apr 10, 2024Updated 2 years ago
- Robust evasion attacks against neural network to find adversarial examples☆861Jun 1, 2021Updated 4 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆444Jul 25, 2024Updated last year
- Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and …☆1,407Feb 15, 2023Updated 3 years ago
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆524Oct 15, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A challenge to explore adversarial robustness of neural networks on MNIST.☆763May 3, 2022Updated 4 years ago
- Related papers for robust machine learning☆562May 25, 2023Updated 2 years ago
- PyTorch Implementation of Adversarial Training for Free!☆248Aug 22, 2021Updated 4 years ago
- PyTorch library for adversarial attack and training☆145Jan 16, 2019Updated 7 years ago
- Implementation of Papers on Adversarial Examples☆396Apr 24, 2023Updated 3 years ago
- LaTeX source for the paper "On Evaluating Adversarial Robustness"☆261Apr 16, 2021Updated 5 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆152Oct 15, 2020Updated 5 years ago
- Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples☆907Jun 10, 2023Updated 2 years ago
- Countering Adversarial Image using Input Transformations.☆495Sep 29, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A method for training neural networks that are provably robust to adversarial attacks.☆392Feb 16, 2022Updated 4 years ago
- Empirical tricks for training robust models (ICLR 2021)☆257May 25, 2023Updated 2 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆124Sep 13, 2023Updated 2 years ago
- ☆161Feb 26, 2021Updated 5 years ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆201Mar 27, 2023Updated 3 years ago
- Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle☆180Jul 25, 2024Updated last year
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆187Sep 17, 2020Updated 5 years ago
- PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.☆254Aug 26, 2020Updated 5 years ago
- Provable adversarial robustness at ImageNet scale☆412May 20, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"☆136Nov 25, 2020Updated 5 years ago
- A pytorch adversarial library for attack and defense methods on images and graphs☆1,081Jun 26, 2025Updated 10 months ago
- The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL☆238Mar 27, 2018Updated 8 years ago
- Improving Transferability of Adversarial Examples with Input Diversity☆168Apr 30, 2019Updated 7 years ago
- Pytorch implementation of convolutional neural network adversarial attack techniques☆365Dec 3, 2018Updated 7 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆227Nov 9, 2019Updated 6 years ago
- A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition☆255Oct 30, 2019Updated 6 years ago