May 2023
Intermediate to advanced
336 pages
10h 3m
English
This chapter covers
So far we’ve looked into the concepts of differential privacy (including the centralized, DP, and the local, LDP, versions) and their applications in developing privacy-preserving query-processing and machine learning (ML) algorithms. As you saw, the idea of DP is to add noise to the query results (without disturbing their original properties) such that the results can assure the privacy of the individuals while satisfying the utility ...