Trusted-AI / adversarial-robustness-toolboxLinks
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
☆5,341Updated 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
Sorting:
- A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX☆2,874Updated last year
- A Toolbox for Adversarial Robustness Research☆1,341Updated last year
- An adversarial example library for constructing attacks, building defenses, and benchmarking both☆6,326Updated last year
- Robust evasion attacks against neural network to find adversarial examples☆832Updated 4 years ago
- Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and …☆1,392Updated 2 years ago
- PyTorch implementation of adversarial attacks [torchattacks]☆2,039Updated 11 months ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆938Updated last year
- A challenge to explore adversarial robustness of neural networks on MNIST.☆754Updated 3 years ago
- Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples☆892Updated 2 years ago
- a CLI that provides a generic automation layer for assessing the security of ML models☆866Updated last year
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆707Updated last year
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆720Updated 2 months ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆498Updated 3 years ago
- Interpretability and explainability of data and machine learning models☆1,701Updated 3 months ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆542Updated 2 years ago
- A simple and accurate method to fool deep neural networks☆364Updated 5 years ago
- Implementation of Papers on Adversarial Examples☆397Updated 2 years ago
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆507Updated last year
- A framework for Privacy Preserving Machine Learning☆1,615Updated 7 months ago
- A list of backdoor learning resources☆1,112Updated 10 months ago
- ARMORY Adversarial Robustness Evaluation Test Bed