cleverhans-lab / cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
☆6,205Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for cleverhans
- A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX☆2,780Updated 7 months ago
- Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and…☆4,897Updated this week
- Robust evasion attacks against neural network to find adversarial examples☆799Updated 3 years ago
- A Toolbox for Adversarial Robustness Research☆1,309Updated last year
- A challenge to explore adversarial robustness of neural networks on MNIST.☆734Updated 2 years ago
- A collection of infrastructure and tools for research in neural network interpretability.☆4,674Updated last year
- Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and …☆1,388Updated last year
- Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples☆883Updated last year
- PyTorch implementation of adversarial attacks [torchattacks]☆1,911Updated 4 months ago
- A curated list of awesome adversarial machine learning resources☆1,815Updated 3 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆917Updated 10 months ago
- TensorFlow's Visualization Toolkit☆6,718Updated this week
- Fast and Easy Infinite Neural Networks in Python☆2,279Updated 8 months ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,830Updated 8 months ago
- Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet☆1,221Updated 7 months ago
- Code and hyperparameters for the paper "Generative Adversarial Networks"☆3,887Updated 4 years ago
- Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).☆955Updated 8 months ago
- A TensorFlow implementation of the Differentiable Neural Computer.☆2,502Updated 3 years ago
- A simple and accurate method to fool deep neural networks☆358Updated 4 years ago
- Neural network visualization toolkit for keras☆2,984Updated 2 years ago
- Deep learning with dynamic computation graphs in TensorFlow☆1,827Updated 3 years ago
- DeepVis Toolbox☆4,018Updated 4 years ago
- Model interpretability and understanding for PyTorch☆4,942Updated this week
- Build Graph Nets in Tensorflow☆5,363Updated last year
- A scikit-learn compatible neural network library that wraps PyTorch☆5,888Updated 2 weeks ago
- A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.☆2,466Updated 4 years ago
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juli…☆20,783Updated last year
- Public facing notes page☆10,228Updated 3 months ago
- TensorFlow-based neural network library☆9,783Updated last week
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆488Updated 3 years ago