11 citations · 23 across the 9 of their papers we have counts for
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cs.DS2020
The Limits of Pan Privacy and Shuffle Privacy for Learning and Estimation
Albert Cheu, Jonathan Ullman
There has been a recent wave of interest in intermediate trust models for differential privacy that eliminate the need for a fully trusted central data collector, but overcome the…
cs.LG2020★ 11 cited
Private Query Release Assisted by Public Data
Raef Bassily, Albert Cheu, Shay Moran +3
We study the problem of differentially private query release assisted by access to public data. In this problem, the goal is to answer a large class of statistical qu…
cs.CR2020★ 5 cited
Connecting Robust Shuffle Privacy and Pan-Privacy
Victor Balcer, Albert Cheu, Matthew Joseph +1
In the \emph{shuffle model} of differential privacy, data-holding users send randomized messages to a secure shuffler, the shuffler permutes the messages, and the resulting collect…