2 papers
cs.CR2020
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…
cs.CR2019
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…