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Guide to Differential Privacy Modifications = A Taxonomy of Variants and Extensions /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Guide to Differential Privacy Modifications/ by Balázs Pejó, Damien Desfontaines.
Reminder of title:	A Taxonomy of Variants and Extensions /
Author:	Pejó, Balázs.
other author:	Desfontaines, Damien.
Description:	VIII, 89 p. 2 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Data protection—Law and legislation. -
Online resource:	https://doi.org/10.1007/978-3-030-96398-9
ISBN:	9783030963989

Guide to Differential Privacy Modifications = A Taxonomy of Variants and Extensions /
Pejó, Balázs.

Guide to Differential Privacy ModificationsA Taxonomy of Variants and Extensions /[electronic resource] :by Balázs Pejó, Damien Desfontaines. - 1st ed. 2022. - VIII, 89 p. 2 illus.online resource. - SpringerBriefs in Computer Science,2191-5776. - SpringerBriefs in Computer Science,.

1. Introduction -- 2. Diﬀerential Privacy -- 3. Quantiﬁcation of privacy loss -- 4. Neighborhood deﬁnition (N) -- 5. Variation of privacy loss (V) -- 6. Background knowledge (B) -- 7. Change in formalism (F) -- 8. Relativization of the knowledge gain (R) -- 9. Computational power (C) -- 10. Summarizing table -- 11. Scope and related work -- 12. Conclusion.

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.

ISBN: 9783030963989

Standard No.: 10.1007/978-3-030-96398-9doiSubjects--Topical Terms:

1366218
Data protection—Law and legislation.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Guide to Differential Privacy Modifications = A Taxonomy of Variants and Extensions /
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