10 Apr 2020
Seminar, Lecture, Talk
Seminar on Statistics and Data Science - Gaussian Differential Privacy, with Applications to Deep Learning
Privacy-preserving data analysis has been put on a firm mathematical foundation since the introduction of differential privacy (DP) in 2006. This privacy definition, however, has some well-known weaknesses: notably, it does not tightly handle composition.