Differentially Private Histograms in the Shuffle Model from Fake Users
Description:
Explore a 17-minute IEEE conference talk that delves into the concept of differentially private histograms within the shuffle model, focusing on the use of fake users. Learn from Albert Cheu of Georgetown University and Maxim Zhilyaev from MindStrong Inc. as they present their research on this innovative approach to data privacy and analysis.
Differentially Private Histograms in the Shuffle Model from Fake Users