Guide to Differential Privacy Modifications - A Taxonomy of Variants and Extensions (Paperback, 1st ed. 2022)

Shortly after it was first introduced in 2006, differential privacy became the flagship data privacy definition. Since then, numerous variants and extensions were proposed to adapt it to different scenarios and attacker models. In this work, we propose a systematic taxonomy of these variants and extensions. We list all data privacy definitions based on differential privacy, and partition them into seven categories, depending on which aspect of the original definition is modified. These categories act like dimensions: Variants from the same category cannot be combined, but variants from different categories can be combined to form new definitions. We also establish a partial ordering of relative strength between these notions by summarizing existing results. Furthermore, we list which of these definitions satisfy some desirable properties, like composition, post-processing, and convexity by either providing a novel proof or collecting existing ones.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Computer Science
Release date:	April 2022
First published:	2022
Authors:	Balazs Pejo • Damien Desfontaines
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	89
Edition:	1st ed. 2022
ISBN-13:	978-3-03-096397-2
Categories:	Books > Reference & Interdisciplinary > Communication studies > Coding theory & cryptology Books > Computing & IT > Social & legal aspects of computing > Privacy & data protection
LSN:	3-03-096397-7
Barcode:	9783030963972

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