Editorial for Volume 9 Issue 2

Differential privacy is a promising approach to privacy-preserving data analysis that provides strong worst-case guarantees about the harm that a user could suffer from contributing their data, but is also flexible enough to allow for a wide variety of data analyses to be performed with a high degre...

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Bibliographic Details
Main Authors: Jonathan Ullman, Lars Vilhuber
Format: Article
Language:English
Published: Labor Dynamics Institute 2019-10-01
Series:The Journal of Privacy and Confidentiality
Subjects:
Online Access:https://journalprivacyconfidentiality.org/index.php/jpc/article/view/731