This is the repository for the code and supplementary material for the paper "Towards Differential Privacy for Many Explainers".
The list of required python packages can be found in requirements.txt. You can test an explainer by calling demo_one_feature() or demo_all_features() in the respective python file for the plot explainers, or by executing pfi_explainer.py for the rank aggregation explainers. You can run the experiments by executing ale_pdp_evaluation.py or pfi_evaluation.py.
The supplementary material -- with additional results, all proofs, and the design and evaluation of Partial Dependence Plots -- can be found as a PDF file Supplementary_Material_Towards_Differential_Privacy_for_Many_Explainers.pdf in the root folder.