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…
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…
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…
Separating Local & Shuffled Differential Privacy via Histograms
Victor Balcer, Albert Cheu
Recent work in differential privacy has highlighted the shuffled model as a promising avenue to compute accurate statistics while keeping raw data in users' hands. We present a pro…
Manipulation Attacks in Local Differential Privacy
Albert Cheu, Adam Smith, Jonathan Ullman
Local differential privacy is a widely studied restriction on distributed algorithms that collect aggregates about sensitive user data, and is now deployed in several large systems…
Observation of Multiphoton Frequency Conversion in Superconducting Circuits
H. Z. Jooya, G. Sun, J. Pan +3
Multiphoton up/down conversion in a transmon circuit, driven by a pair of microwaves tuned near and far off the qubit resonance, has been observed. The experimental realization of…
Skyline Identification in Multi-Armed Bandits
Albert Cheu, Ravi Sundaram, Jonathan Ullman
We introduce a variant of the classical PAC multi-armed bandit problem. There is an ordered set of arms , each with some stochastic reward drawn from some unkn…