BorealisAI / advertorch
A Toolbox for Adversarial Robustness Research
☆1,324Updated last year
Alternatives and similar repositories for advertorch:
Users that are interested in advertorch are comparing it to the libraries listed below
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆926Updated last year
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆679Updated 9 months ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆490Updated 3 years ago
- Related papers for robust machine learning☆566Updated last year
- A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX☆2,829Updated 10 months ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆693Updated 2 weeks ago
- A challenge to explore adversarial robustness of neural networks on MNIST.☆740Updated 2 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆529Updated last year
- Pytorch implementation of convolutional neural network adversarial attack techniques☆355Updated 6 years ago
- PyTorch implementation of adversarial attacks [torchattacks]☆1,964Updated 7 months ago
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆496Updated last year
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆441Updated 6 months ago
- Robust evasion attacks against neural network to find adversarial examples☆815Updated 3 years ago
- Implementation of Papers on Adversarial Examples☆393Updated last year
- Provable adversarial robustness at ImageNet scale☆383Updated 5 years ago
- A method for training neural networks that are provably robust to adversarial attacks.☆383Updated 3 years ago
- ImageNet classifier with state-of-the-art adversarial robustness☆682Updated 5 years ago
- PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.☆246Updated 4 years ago
- Corruption and Perturbation Robustness (ICLR 2019)☆1,045Updated 2 years ago
- PyTorch Implementation of Adversarial Training for Free!☆242Updated 3 years ago
- Simple pytorch implementation of FGSM and I-FGSM☆282Updated 6 years ago
- a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).☆264Updated 4 years ago
- LaTeX source for the paper "On Evaluating Adversarial Robustness"☆252Updated 3 years ago
- This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.☆224Updated 5 years ago
- A simple and accurate method to fool deep neural networks☆358Updated 4 years ago
- Countering Adversarial Image using Input Transformations.☆491Updated 3 years ago
- The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL☆233Updated 6 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆210Updated 2 years ago
- Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and …☆1,391Updated 2 years ago
- Empirical tricks for training robust models (ICLR 2021)☆253Updated last year