How Well Can Differential Privacy Be Audited in One Run?

TL;DR

Recent methods for auditing the privacy of machine learning algorithms have improved computational efficiency by simultaneously intervening on multiple training examples in a single training run…

Opening excerpt from the authors’ abstract. source