Keyword Analysis & Research: foolbox

github.com

https://github.com/bethgelab/foolbox

DA: 65 PA: 78 MOZ Rank: 53

readthedocs.io

https://foolbox.readthedocs.io/en/stable/index.html

WEBFoolbox Native is a Python toolbox that allows you to generate adversarial examples that fool neural networks. It supports various frameworks, such as PyTorch, TensorFlow, and …

DA: 13 PA: 7 MOZ Rank: 68

readthedocs.io

https://foolbox.readthedocs.io/en/stable/modules/attacks.html

DA: 36 PA: 34 MOZ Rank: 72

pypi.org

https://pypi.org/project/foolbox/

WEBMar 4, 2024 · Foolbox is a fast and easy-to-use tool to run adversarial attacks against deep neural networks in PyTorch, TensorFlow and JAX. It provides state-of-the-art attacks, …

DA: 16 PA: 66 MOZ Rank: 1

readthedocs.io

https://foolbox.readthedocs.io/en/stable/modules/attacks.html

WEBLearn how to use different types of adversarial attacks on the input of a classification model with Foolbox, a Python library for deep learning. See the parameters, references and …

DA: 70 PA: 96 MOZ Rank: 85

jonasrauber.de

https://foolbox.jonasrauber.de/guide/getting-started.html

# Installation# Getting A Model# Transform Bounds# Dataset# Attacking The Model# Multiple Epsilons# Robust Accuracy# Learn More Now we have everything ready to attack the model. Before we do that,we will quickly check its clean accuracy on our evaluation set. To run an attack, we first instantiate the corresponding class. And finally we can apply the attack on our model by passingthe input tensor (here images), the corresponding true labels,and one or more epsilons. The att...

Now we have everything ready to attack the model. Before we do that,we will quickly check its clean accuracy on our evaluation set. To run an attack, we first instantiate the corresponding class. And finally we can apply the attack on our model by passingthe input tensor (here images), the corresponding true labels,and one or more epsilons. The att...

DA: 48 PA: 3 MOZ Rank: 13

jonasrauber.de

https://foolbox.jonasrauber.de/

WEBFoolbox is a toolbox that lets you run adversarial attacks against machine learning models like deep neural networks in PyTorch, TensorFlow, and JAX. It provides a large collection of state-of-the-art attacks, type …

DA: 38 PA: 66 MOZ Rank: 28

github.com

https://github.com/bethgelab/foolbox

DA: 92 PA: 56 MOZ Rank: 99

jonasrauber.de

https://foolbox.jonasrauber.de/guide/

WEBWhat is Foolbox? Foolbox is a Python library that lets you easily run adversarial attacks against machine learning models like deep neural networks. It is built on top of EagerPy …

DA: 60 PA: 61 MOZ Rank: 8

arxiv.org

https://arxiv.org/pdf/1707.04131.pdf

WEBFoolbox is a Python package that generates adversarial perturbations and quantifies the robustness of machine learning models using various criteria and distance measures. It …

DA: 72 PA: 15 MOZ Rank: 50