bethgelab / foolboxLinks
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
☆2,925Updated last week
Alternatives and similar repositories for foolbox
Users that are interested in foolbox are comparing it to the libraries listed below
Sorting:
- A Toolbox for Adversarial Robustness Research☆1,358Updated 2 years ago
- An adversarial example library for constructing attacks, building defenses, and benchmarking both☆6,388Updated last year
- Robust evasion attacks against neural network to find adversarial examples☆849Updated 4 years ago
- PyTorch implementation of adversarial attacks [torchattacks]☆2,121Updated last year
- A challenge to explore adversarial robustness of neural networks on MNIST.☆757Updated 3 years ago
- Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and…☆5,699Updated last week
- Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and …☆1,404Updated 2 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆946Updated last year
- Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples☆904Updated 2 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆732Updated last year
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆754Updated 8 months ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆504Updated 4 years ago
- Implementation of Papers on Adversarial Examples☆397Updated 2 years ago
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆519Updated 2 years ago
- A simple and accurate method to fool deep neural networks☆361Updated 5 years ago
- Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet☆1,231Updated last year
- Pytorch implementation of convolutional neural network adversarial attack techniques☆364Updated 7 years ago
- A curated list of awesome adversarial machine learning resources☆1,884Updated 5 years ago
- Related papers for robust machine learning☆567Updated 2 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆551Updated 2 years ago
- Corruption and Perturbation Robustness (ICLR 2019)☆1,112Updated 3 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆688Updated 2 years ago
- Code for visualizing the loss landscape of neural nets☆3,103Updated 3 years ago
- ImageNet classifier with state-of-the-art adversarial robustness☆687Updated 5 years ago
- Crafting adversarial images☆222Updated 6 years ago
- ☆248Updated 6 years ago
- Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).☆989Updated last year
- Countering Adversarial Image using Input Transformations.☆497Updated 4 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆449Updated last year
- A method for training neural networks that are provably robust to adversarial attacks.☆390Updated 3 years ago