Project

Experiment with differential privacy using IBM open-sourced Differential Privacy Library on GitHub

Objective

We are trying to solve a user reported existing issue (#20) in the library’s GitHub repository, which is to estimate bounds and data_norm parameters using histograms. ( Privacy preserving parametrization) As suggested in the issue description itself we plan to make use of clip_to _bounds and clip_to_norm from Diffprivlib’s 3.0 version. Issue link: https://github.com/IBM/differential-privacy-library/issues/20

Outcome

We are trying to solve a user reported existing issue (#20) in the library’s GitHub repository, which is to estimate bounds and data_norm parameters using histograms. ( Privacy preserving parametrization) As suggested in the issue description itself we plan to make use of clip_to _bounds and clip_to_norm from Diffprivlib’s 3.0 version. Issue link: https://github.com/IBM/differential-privacy-library/issues/20