1.5k citations · 3.3k across the 15 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
cs.CR2017★ 298 cited
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…
stat.ML2017★ 39 cited
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…