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Archimedes Meets Privacy: On Privately Estimating Quantiles in High
  Dimensions Under Minimal Assumptions

Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions

15 August 2022
Omri Ben-Eliezer
Dan Mikulincer
Ilias Zadik
    FedML
ArXivPDFHTML

Papers citing "Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions"

2 / 2 papers shown
Title
On the Statistical Complexity of Estimation and Testing under Privacy
  Constraints
On the Statistical Complexity of Estimation and Testing under Privacy Constraints
Clément Lalanne
Aurélien Garivier
Rémi Gribonval
25
7
0
05 Oct 2022
Privately Learning High-Dimensional Distributions
Privately Learning High-Dimensional Distributions
Gautam Kamath
Jerry Li
Vikrant Singhal
Jonathan R. Ullman
FedML
69
148
0
01 May 2018
1