ICSE 2024 (series) / Artifact Evaluation /
MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search
Our submission of the MAFT artifact for ICSE 2024 comprises both executable and non-executable elements. The executable part, which includes the source code, will be packaged for easy usage, potentially utilizing Docker. Non-executable components encompass raw data, well-trained models, experiment results, and a comprehensive README document. All artifacts are securely hosted on Zenodo to ensure long-term accessibility. We have successfully registered on ICSE 2024 HotCRP, applying for the reusable and available badges.