11 citations · 23 across the 9 of their papers we have counts for
12 papers
Necessary Conditions in Multi-Server Differential Privacy
Albert Cheu, Chao Yan
We consider protocols where users communicate with multiple servers to perform a computation on the users' data. An adversary exerts semi-honest control over many of the parties bu…
Pure Differential Privacy from Secure Intermediaries
Albert Cheu, Chao Yan
Recent work in differential privacy has explored the prospect of combining local randomization with a secure intermediary. Specifically, there are a variety of protocols in the sec…
Differential Privacy in the Shuffle Model: A Survey of Separations
Albert Cheu
Differential privacy is often studied in one of two models. In the central model, a single analyzer has the responsibility of performing a privacy-preserving computation on data. B…
Shuffle Private Stochastic Convex Optimization
Albert Cheu, Matthew Joseph, Jieming Mao +1
In shuffle privacy, each user sends a collection of randomized messages to a trusted shuffler, the shuffler randomly permutes these messages, and the resulting shuffled collection…
Differentially Private Histograms in the Shuffle Model from Fake Users
Albert Cheu, Maxim Zhilyaev
There has been much recent work in the shuffle model of differential privacy, particularly for approximate -bin histograms. While these protocols achieve low error, the number o…
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…