257 citations · 537 across the 28 of their papers we have counts for
3 papers · 1 filter
A Members First Approach to Enabling LinkedIn's Labor Market Insights at Scale
Ryan Rogers, Adrian Rivera Cardoso, Koray Mancuhan +5
We describe the privatization method used in reporting labor market insights from LinkedIn's Economic Graph, including the differentially private algorithms used to protect member'…
Bounding, Concentrating, and Truncating: Unifying Privacy Loss Composition for Data Analytics
Mark Cesar, Ryan Rogers
Differential privacy (DP) provides rigorous privacy guarantees on individual's data while also allowing for accurate statistics to be conducted on the overall, sensitive dataset. T…
LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale
Ryan Rogers, Subbu Subramaniam, Sean Peng +5
We present a privacy system that leverages differential privacy to protect LinkedIn members' data while also providing audience engagement insights to enable marketing analytics re…