Scenario-based Adaptations of Differential Privacy: A Technical Survey
Article No.: 199, Pages 1 - 39
Abstract
Differential privacy has been a de facto privacy standard in defining privacy and handling privacy preservation. It has had great success in scenarios of local data privacy and statistical dataset privacy. As a primitive definition, standard differential privacy has been adapted to a wide range of practical scenarios. In this work, we summarize differential privacy adaptations in specific scenarios and analyze the correlations between data characteristics and differential privacy design. We mainly present them in two lines including differential privacy adaptations in local data privacy and differential privacy adaptations in statistical dataset privacy. With a focus on differential privacy design, this survey targets providing guiding rules in differential privacy design for scenarios, together with identifying potential opportunities to adaptively apply differential privacy in more emerging technologies and further improve differential privacy itself with the assistance of cryptographic primitives.
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August 2024
963 pages
ISSN:0360-0300
EISSN:1557-7341
DOI:10.1145/3613627
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Publication History
Published: 26 April 2024
Online AM: 05 March 2024
Accepted: 15 December 2023
Revised: 29 May 2023
Received: 16 April 2022
Published in CSUR Volume 56, Issue 8
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