A simple differentially private procedure

Authors: John Mount and Nina Zumel Nina and I were noodling with some variations of differentially private machine learning, and think we have found a variation of a standard practice that is actually fairly efficient in establishing differential privacy. Read on for the idea and a rough analysis. The idea A commonly discussed step in … Continue reading A simple differentially private procedure