6.3k citations · 8.5k across the 15 of their papers we have counts for
4 papers · 1 filter
Prochlo: Strong Privacy for Analytics in the Crowd
Andrea Bittau, Úlfar Erlingsson, Petros Maniatis +7
The large-scale monitoring of computer users' software activities has become commonplace, e.g., for application telemetry, error reporting, or demographic profiling. This paper des…
Oblivious Stash Shuffle
Petros Maniatis, Ilya Mironov, Kunal Talwar
This is a companion report to Bittau et al. We restate and prove security of the Stash Shuffle.
On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches
Martín Abadi, Úlfar Erlingsson, Ian Goodfellow +5
The recent, remarkable growth of machine learning has led to intense interest in the privacy of the data on which machine learning relies, and to new techniques for preserving priv…
Renyi Differential Privacy
Ilya Mironov
We propose a natural relaxation of differential privacy based on the Renyi divergence. Closely related notions have appeared in several recent papers that analyzed composition of d…