Pinned Repositories
cifar10_challenge
A challenge to explore adversarial robustness of neural networks on CIFAR10.
constructed-datasets
Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"
context-cite
Attribute (or cite) statements generated by LLMs back to in-context information.
datamodels-data
Data for "Datamodels: Predicting Predictions with Training Data"
mnist_challenge
A challenge to explore adversarial robustness of neural networks on MNIST.
modelcomponents
Decomposing and Editing Predictions by Modeling Model Computation
modeldiff
ModelDiff: A Framework for Comparing Learning Algorithms
photoguard
Raising the Cost of Malicious AI-Powered Image Editing
robustness
A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
trak
A fast, effective data attribution method for neural networks in PyTorch
Madry Lab's Repositories
MadryLab/adversarial_spatial
Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.
MadryLab/spatial-pytorch
Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).
MadryLab/backdoor_data_poisoning
MadryLab/pytorch-imagenet-dataset
Imagenet dataset for pytorch
MadryLab/mnist_challenge_models
MadryLab/robust_model_colab
MadryLab/models
Models and examples built with TensorFlow
MadryLab/tensorflow
Computation using data flow graphs for scalable machine learning