257 citations · 260 across the 7 of their papers we have counts for
3 papers · 1 filter
Managing Correlations in Data and Privacy Demand
Syomantak Chaudhuri, Thomas A. Courtade
Previous works in the differential privacy literature that allow users to choose their privacy levels typically operate under the heterogeneous differential privacy (HDP) framework…
Mean Estimation Under Heterogeneous Privacy Demands
Syomantak Chaudhuri, Konstantin Miagkov, Thomas A. Courtade
Differential Privacy (DP) is a well-established framework to quantify privacy loss incurred by any algorithm. Traditional formulations impose a uniform privacy requirement for all…
Mean Estimation Under Heterogeneous Privacy: Some Privacy Can Be Free
Syomantak Chaudhuri, Thomas A. Courtade
Differential Privacy (DP) is a well-established framework to quantify privacy loss incurred by any algorithm. Traditional DP formulations impose a uniform privacy requirement for a…