ICSE 2023 (series) / Artifact Evaluation /
Information-Theoretic Testing and Debugging of Fairness Defects in Deep Neural Networks
Paper Title:
Information-Theoretic Testing and Debugging of Fairness Defects in Deep Neural Networks, Accepted to ICSE 2023 (Main Research Track)
The purpose of the research artifact:
To validate the paper results by reviewers and get feedback on improving the package.
Bages:
Functional, Reusable, Available
Technology skills:
Running Docker image from the docker file, basic bash skill to run python programs.
The package is available at https://doi.org/10.6084/m9.figshare.21971399.v1 The package is available at https://github.com/armanunix/Fairness-testing as well.
