3 citations · 3 across the 3 of their papers we have counts for
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cs.CR2020
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…
cs.CR2019
Optimal Differential Privacy Composition for Exponential Mechanisms and the Cost of Adaptivity
Jinshuo Dong, David Durfee, Ryan Rogers
Composition is one of the most important properties of differential privacy (DP), as it allows algorithm designers to build complex private algorithms from DP primitives. We consid…
cs.CR2019
Practical Differentially Private Top- Selection with Pay-what-you-get Composition
David Durfee, Ryan Rogers
We study the problem of top- selection over a large domain universe subject to user-level differential privacy. Typically, the exponential mechanism or report noisy max are the…