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2019-cs109b

adversarial-robustness-toolbox

Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support

comdefend

The code for CVPR2019 (ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples)

docs

TensorFlow documentation

fast_adversarial

[ICLR 2020] A repository for extremely fast adversarial training using FGSM

flownet2

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

homework-0

pwc-net

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

pwc-net_pytorch

pytorch implementation of "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume"

robust-features-code

Code for "Robustness May Be at Odds with Accuracy"

robustness

Corruption and Perturbation Robustness (ICLR 2019)

robustness-1

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

selflow

SelFlow: Self-Supervised Learning of Optical Flow

waitgpu

A small Python library that waits for GPU conditions to be satisfied, and then set CUDA_VISIBLE_DEVICES to the qualifying GPU on multi-GPU systems.