ML privacy

Evaluations of Machine Learning Privacy Defenses are Misleading

We find that empirical evaluations of heuristic privacy defenses can be highly misleading, and propose a new evaluation protocol that is reliable and efficient.

Michael Aerni, Jie Zhang, Florian Tramèr