2025
How Well Can Differential Privacy Be Audited in One Run?
NeurIPS 2025spotlight
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. Steinke et al. prove that one-run auditing indeed lower bounds the true privacy parameter of the audited…