25 citations · 58 across the 7 of their papers we have counts for
4 papers · 1 filter
U.S. Broadband Coverage Data Set: A Differentially Private Data Release
Mayana Pereira, Allen Kim, Joshua Allen +3
Broadband connectivity is a key metric in today's economy. In an era of rapid expansion of the digital economy, it directly impacts GDP. Furthermore, with the COVID-19 guidelines o…
Distributed Differentially Private Mutual Information Ranking and Its Applications
Ankit Srivastava, Samira Pouyanfar, Joshua Allen +2
Computation of Mutual Information (MI) helps understand the amount of information shared between a pair of random variables. Automated feature selection techniques based on MI rank…
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors
Joshua Allen, Bolin Ding, Janardhan Kulkarni +3
Differential privacy has emerged as the main definition for private data analysis and machine learning. The {\em global} model of differential privacy, which assumes that users tru…
Comparing Population Means under Local Differential Privacy: with Significance and Power
Bolin Ding, Harsha Nori, Paul Li +1
A statistical hypothesis test determines whether a hypothesis should be rejected based on samples from populations. In particular, randomized controlled experiments (or A/B testing…