cleverhans-lab / cleverhansLinks
An adversarial example library for constructing attacks, building defenses, and benchmarking both
☆6,381Updated last year
Alternatives and similar repositories for cleverhans
Users that are interested in cleverhans 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☆2,924Updated last year
- A Toolbox for Adversarial Robustness Research☆1,357Updated 2 years ago
- Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and…☆5,654Updated this week
- Robust evasion attacks against neural network to find adversarial examples☆847Updated 4 years ago
- Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and …☆1,400Updated 2 years ago
- A challenge to explore adversarial robustness of neural networks on MNIST.☆755Updated 3 years ago
- Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples☆904Updated 2 years ago
- PyTorch implementation of adversarial attacks [torchattacks]☆2,110Updated last year
- A curated list of awesome adversarial machine learning resources☆1,879Updated 4 years ago
- Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet☆1,231Updated last year
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆945Updated last year
- A collection of infrastructure and tools for research in neural network interpretability.☆4,701Updated 2 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆502Updated 4 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆726Updated last year
- Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).☆987Updated last year
- Model interpretability and understanding for PyTorch☆5,463Updated this week
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆517Updated 2 years ago
- Implementation of Papers on Adversarial Examples☆397Updated 2 years ago
- A simple and accurate method to fool deep neural networks☆361Updated 5 years ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,712Updated 2 weeks ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆752Updated 7 months ago
- Efficiently computes derivatives of NumPy code.☆7,398Updated this week
- MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Co…☆5,815Updated 3 months ago
- A Python toolbox for performing gradient-free optimization☆4,125Updated 5 months ago
- A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.☆2,459Updated 5 years ago
- ☆797Updated 4 years ago
- ☆248Updated 6 years ago
- Fast and flexible AutoML with learning guarantees.☆3,461Updated last year
- Neural network visualization toolkit for keras☆2,997Updated 3 years ago
- Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"☆1,952Updated 5 years ago