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Controlling Privacy Loss in Sampling Schemes: an Analysis of Stratified
  and Cluster Sampling

Controlling Privacy Loss in Sampling Schemes: an Analysis of Stratified and Cluster Sampling

24 July 2020
Mark Bun
Jörg Drechsler
Marco Gaboardi
Audra McMillan
Jayshree Sarathy
ArXivPDFHTML

Papers citing "Controlling Privacy Loss in Sampling Schemes: an Analysis of Stratified and Cluster Sampling"

4 / 4 papers shown
Title
Personalized Privacy Amplification via Importance Sampling
Personalized Privacy Amplification via Importance Sampling
Dominik Fay
Sebastian Mair
Jens Sjölund
50
0
0
05 Jul 2023
Don't Look at the Data! How Differential Privacy Reconfigures the
  Practices of Data Science
Don't Look at the Data! How Differential Privacy Reconfigures the Practices of Data Science
Jayshree Sarathy
Sophia Song
Audrey Haque
Tania Schlatter
Salil P. Vadhan
23
23
0
23 Feb 2023
Differential Privacy for Government Agencies -- Are We There Yet?
Differential Privacy for Government Agencies -- Are We There Yet?
Joerg Drechsler
26
20
0
17 Feb 2021
Variational Bayes In Private Settings (VIPS)
Variational Bayes In Private Settings (VIPS)
Mijung Park
James R. Foulds
Kamalika Chaudhuri
Max Welling
21
42
0
01 Nov 2016
1