A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
☆2,965Dec 3, 2025Updated 6 months ago
Alternatives and similar repositories for foolbox
Users that are interested in foolbox are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An adversarial example library for constructing attacks, building defenses, and benchmarking both☆6,440Apr 10, 2024Updated 2 years ago
- 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…☆6,017Dec 12, 2025Updated 5 months ago
- PyTorch implementation of adversarial attacks [torchattacks]☆2,163Jun 29, 2024Updated last year
- Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and …☆1,406Feb 15, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Robust evasion attacks against neural network to find adversarial examples☆863Jun 1, 2021Updated 5 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆745May 16, 2024Updated 2 years ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆777Apr 14, 2026Updated last month
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆554Mar 30, 2023Updated 3 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆511Aug 30, 2021Updated 4 years ago
- A challenge to explore adversarial robustness of neural networks on MNIST.☆764May 3, 2022Updated 4 years ago
- Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples☆907Jun 10, 2023Updated 2 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆944Jan 11, 2024Updated 2 years ago
- ImageNet classifier with state-of-the-art adversarial robustness☆684Dec 31, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Implementation of Papers on Adversarial Examples☆396Apr 24, 2023Updated 3 years ago
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆524Oct 15, 2023Updated 2 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆446Jul 25, 2024Updated last year
- LaTeX source for the paper "On Evaluating Adversarial Robustness"☆260Apr 16, 2021Updated 5 years ago
- Improving Transferability of Adversarial Examples with Input Diversity☆168Apr 30, 2019Updated 7 years ago
- PyTorch Implementation of Adversarial Training for Free!☆247Aug 22, 2021Updated 4 years ago
- Provable adversarial robustness at ImageNet scale☆413May 20, 2019Updated 7 years ago
- A simple and accurate method to fool deep neural networks☆362Mar 31, 2020Updated 6 years ago
- Related papers for robust machine learning☆562May 25, 2023Updated 3 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 "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)☆179Oct 4, 2021Updated 4 years ago
- A method for training neural networks that are provably robust to adversarial attacks.☆391Feb 16, 2022Updated 4 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
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆99Dec 12, 2020Updated 5 years ago
- Corruption and Perturbation Robustness (ICLR 2019)☆1,154Aug 24, 2022Updated 3 years ago
- Countering Adversarial Image using Input Transformations.☆493Sep 29, 2021Updated 4 years ago
- The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL☆238Mar 27, 2018Updated 8 years ago
- Benchmarking and Visualization Tool for Adversarial Machine Learning☆188Apr 4, 2023Updated 3 years ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆201Mar 27, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆140Mar 30, 2020Updated 6 years ago
- Crafting adversarial images☆222Jan 3, 2019Updated 7 years ago
- ☆161Feb 26, 2021Updated 5 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆187Sep 17, 2020Updated 5 years ago
- Empirical tricks for training robust models (ICLR 2021)☆258May 25, 2023Updated 3 years ago
- ☆251Jan 12, 2019Updated 7 years ago
- Contest Proposal and infrastructure for the Unrestricted Adversarial Examples Challenge☆334Sep 17, 2020Updated 5 years ago