Artifact: Distribution-Aware Testing of Neural Networks Using Generative Models

Abstract

The artifact used for the experimental evaluation of Distribution-Aware Testing of Neural Networks Using Generative Models is publicly available on GitHub and it is reusable. The artifact consists of python scripts, trained deep neural network model files and data required for running the experiments. It is also provided as a VirtualBox VM image for reproducing the paper results. Users should be familiar with using VirtualBox software and Linux platform to reproduce or reuse the artifact.