davidstutz

imgaug

Image augmentation for machine learning experiments.

pytorch-cifar

95.47% on CIFAR10 with PyTorch

AutoAugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

DeepRobust

A pytorch adversarial library for attack and defense methods on images and graphs

textidote

Spelling, grammar and style checking on LaTeX documents

robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

semi-supervised-pytorch

Implementations of various VAE-based semi-supervised and generative models in PyTorch

auto-attack

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

robustbench

RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]

Cutout

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

pytorch_misc

Code snippets created for the PyTorch discussion board

TRADES

TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

wae

Wasserstein Auto-Encoders

wide-resnet.pytorch

Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch

smoothing

Provable adversarial robustness at ImageNet scale

normalizing-flows-tutorial

Tutorial on normalizing flows.

FreeAdversarialTraining

PyTorch Implementation of Adversarial Training for Free!

smoothing-adversarial

Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

variational-inference-with-normalizing-flows

Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)

simple-blackbox-attack

Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"

AWP

Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

Celebrity-Face-Recognition-Dataset

Dataset of around 800k images consisting of 1100 Famous Celebrities and an Unknown class to classify unknown faces

PyTorch-EMDLoss

PyTorch 1.0 implementation of the approximate Earth Mover's Distance

Principles

notMNIST-to-MNIST

A sample of the notMNIST dataset in MNIST format so you can drop new data into your existing MNIST neural nets

BFA

Pytorch implementation of Bit-Flip based adversarial weight Attack (BFA)

piecewise-quantization

PyTorch implementation of Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation

pytorch-normalizing-flows

pytorch_cutout

A PyTorch implementation of Cutout

CFFI-numpy-openMP

CFFI + Numpy + OpenMP -- a reference example