Empirically evaluating privacy in machine learning I: Introduction
The first in a series of blog posts on machine learning and privacy.
The first in a series of blog posts on machine learning and privacy.
Training vector representations on Dutch registry data.
We review the empirical testing of privacy in machine learning. We discuss whether and how these tests could be used when evaluating generative algorithms for deployment at statistical agencies and in the health care system.