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Models Matter: Setting Accurate Privacy Expectations for Local and
  Central Differential Privacy

Models Matter: Setting Accurate Privacy Expectations for Local and Central Differential Privacy

16 August 2024
Mary Anne Smart
Priyanka Nanayakkara
Rachel Cummings
Gabriel Kaptchuk
Elissa M. Redmiles
ArXivPDFHTML

Papers citing "Models Matter: Setting Accurate Privacy Expectations for Local and Central Differential Privacy"

3 / 3 papers shown
Title
What Are the Chances? Explaining the Epsilon Parameter in Differential
  Privacy
What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy
Priyanka Nanayakkara
Mary Anne Smart
Rachel Cummings
Gabriel Kaptchuk
Elissa M. Redmiles
40
33
0
01 Mar 2023
How Well Do My Results Generalize Now? The External Validity of Online
  Privacy and Security Surveys
How Well Do My Results Generalize Now? The External Validity of Online Privacy and Security Surveys
Jenny Tang
Eleanor Birrell
Ada Lerner
146
26
0
28 Feb 2022
LightDP: Towards Automating Differential Privacy Proofs
LightDP: Towards Automating Differential Privacy Proofs
Danfeng Zhang
Daniel Kifer
43
72
0
27 Jul 2016
1