Overview
This project is in collaboration with the industry partner ex indiciis, who provides a purely data-driven recommender system for financial institutions, based on the analysis of client information. Privacy is a major concern when analyzing such client information and raises the question, how privacy guarantees can be integrated into the data analysis process. Goal of the project is to evaluate the different privacy definitions developed from academic research such as: k-anonymity, k-map, delta-presence, differential privacy, among others and develop a privacy-preserving concept for the system of the industry partner.
