Trusted-AI / adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
☆5,058Updated this week
Alternatives and similar repositories for adversarial-robustness-toolbox:
Users that are interested in adversarial-robustness-toolbox are comparing it to the libraries listed below
- A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX☆2,829Updated 10 months ago
- An adversarial example library for constructing attacks, building defenses, and benchmarking both☆6,256Updated 10 months ago
- A Toolbox for Adversarial Robustness Research☆1,324Updated last year
- PyTorch implementation of adversarial attacks [torchattacks]☆1,964Updated 7 months 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
- Robust evasion attacks against neural network to find adversarial examples☆815Updated 3 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆926Updated last year
- a CLI that provides a generic automation layer for assessing the security of ML models☆832Updated last year
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆496Updated last year
- A challenge to explore adversarial robustness of neural networks on MNIST.☆740Updated 2 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆679Updated 9 months ago
- A curated list of awesome adversarial machine learning resources☆1,835Updated 4 years ago
- Related papers for robust machine learning☆566Updated last year
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆490Updated 3 years ago
- Implementation of Papers on Adversarial Examples☆393Updated last year
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆693Updated 2 weeks ago
- Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples☆885Updated last year
- 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
- Model interpretability and understanding for PyTorch☆5,080Updated this week
- 💡 Adversarial attacks on explanations and how to defend them☆309Updated 2 months ago
- ARMORY Adversarial Robustness Evaluation Test Bed☆177Updated last year
- Library for training machine learning models with privacy for training data☆1,947Updated last week
- A list of backdoor learning resources☆1,086Updated 6 months ago
- TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs…☆3,067Updated 6 months ago
- A collection of infrastructure and tools for research in neural network interpretability.☆4,691Updated 2 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆210Updated 2 years ago
- A curated list of awesome resources for adversarial examples in deep learning☆263Updated 4 years ago
- Interpretability and explainability of data and machine learning models☆1,655Updated 7 months ago
- LaTeX source for the paper "On Evaluating Adversarial Robustness"☆252Updated 3 years ago