## CodeThe github pages contain more information for each individual project. If you are interested in code that is currently not on github, please send me an email. ## DatasetsThe following pages contain new test sets for CIFAR-10, ImageNet and SQuAD. The CIFAR-10.1 and ImageNetV2 repositories also provide code for assembling the datasets. ## RobustnessOur large-scale robustness benchmark for ImageNet: https://modestyachts.github.io/imagenet-testbed/. Together with the MadryLab, I have worked on the following baseline implementation for adversarial robustness: ## Nearest neighborFALCONN is a fast implementation of locality-sensitive hashing (LSH) for cosine similarity. Ilya Razenshteyn and I developed this library. ## Structured sparsityWhen working with structure beyond sparsity, the the algorithmic core is often to projection onto a structured sparse set. The following github repositories contain code for various projection operators: The algorithm underlying the graph sparsity code is a fast implementation of the Goemans-Williamson scheme for prize-collecting Steiner forest (PCSF) problems. Aleksander Lenail is maintaining a version of the above PCSF code for applications in computational biology. ## Distribution learningThe following repository contains code for differentially private distribution learning: github. |