Project

Experiments with the Differential Privacy Library on GitHub  Diffprivlib

Objective

Experiment with differential privacy using IBM opensourced Differential Privacy Library on GitHub  Diffprivlib is a general-purpose library from IBM for experimenting with, investigating and developing applications in, differential privacy. Use diffprivlib if you are looking to experiment with differential privacy Explore the impact of differential privacy on machine learning accuracy using classification and clustering models. One can build your own differential privacy applications, using our extensive collection of mechanisms Diffprivlib supports Python versions 3.6 to 3.8. https://github.com/IBM/differential-privacy-library

Outcome

Working code and demos of the experiments performed, Contribution to Open Source, Publications/Blogs