cleverhans-lab / cleverhansLinks
An adversarial example library for constructing attacks, building defenses, and benchmarking both
☆6,388Updated 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☆2,925Updated last week
- Robust evasion attacks against neural network to find adversarial examples☆849Updated 4 years ago
- A Toolbox for Adversarial Robustness Research☆1,358Updated 2 years ago
- Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples☆904Updated 2 years ago
- Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and…☆5,699Updated last week
- A curated list of awesome adversarial machine learning resources☆1,884Updated 5 years ago
- A challenge to explore adversarial robustness of neural networks on MNIST.☆757Updated 3 years ago
- Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet☆1,231Updated last year
- 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
- PyTorch implementation of adversarial attacks [torchattacks]☆2,121Updated last year
- Neural network visualization toolkit for keras☆2,996Updated 3 years ago
- A collection of infrastructure and tools for research in neural network interpretability.☆4,703Updated 2 years ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,068Updated 3 months ago
- DeepVis Toolbox☆4,055Updated 5 years ago
- A simple and accurate method to fool deep neural networks☆361Updated 5 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆946Updated last year
- Implementation of Papers on Adversarial Examples☆397Updated 2 years ago
- Benchmarks for popular CNN models☆2,530Updated 8 years ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,716Updated last week
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆504Updated 4 years ago
- Code for the paper "Improved Techniques for Training GANs"☆2,332Updated 7 years ago
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆519Updated 2 years ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,139Updated 2 weeks 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
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,977Updated last month
- Collection of generative models in Tensorflow☆3,923Updated 3 years ago
- A list of papers on Generative Adversarial (Neural) Networks☆3,778Updated 3 months ago
- MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Co…☆5,819Updated 4 months ago
- A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.☆10,198Updated last year