Empirically evaluating privacy in machine learning I: Introduction
The first in a series of blog posts on machine learning and privacy.
differential-privacy
FOSDEM 2025 Highlights
Highlights and notes from FOSDEM 2025
Empirical Privacy Evaluations of Generative and Predictive Machine Learning Models -- A review and challenges for practice
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.