國立高雄大學圖資館 |

Language: English

Back

Guide to differential privacy modificationsa taxonomy of variants and extensions /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Guide to differential privacy modificationsby Balazs Pejo, Damien Desfontaines.
Reminder of title:	a taxonomy of variants and extensions /
Author:	Pejo, Balazs.
other author:	Desfontaines, Damien.
Published:	Cham :Springer International Publishing :2022.
Description:	viii, 89 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Computer security.
Online resource:	https://doi.org/10.1007/978-3-030-96398-9
ISBN:	9783030963989$q(electronic bk.)

Guide to differential privacy modificationsa taxonomy of variants and extensions /
Pejo, Balazs.

Guide to differential privacy modificationsa taxonomy of variants and extensions /[electronic resource] :by Balazs Pejo, Damien Desfontaines. - Cham :Springer International Publishing :2022. - viii, 89 p. :ill., digital ;24 cm. - 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$q(electronic bk.)

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

184416
Computer security.

LC Class. No.: QA76.9.A25 / P45 2022

Dewey Class. No.: 005.8

Guide to differential privacy modificationsa taxonomy of variants and extensions /
LDR:02425nmm a2200337 a 4500 001 620616
003 DE-He213
005 20220409135152.0
006 m d
007 cr nn 008maaau
008 221121s2022 sz s 0 eng d
020 $a 9783030963989$q(electronic bk.)
020 $a 9783030963972$q(paper)
024 7 $a 10.1007/978-3-030-96398-9 $2 doi
035 $a 978-3-030-96398-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.A25 $b P45 2022
072 7 $a URD $2 bicssc
072 7 $a COM060040 $2 bisacsh
072 7 $a URD $2 thema
082 0 4 $a 005.8 $2 23
090 $a QA76.9.A25 $b P379 2022
100 1 $a Pejo, Balazs. $3 921438
245 1 0 $a Guide to differential privacy modifications $h [electronic resource] : $b a taxonomy of variants and extensions / $c by Balazs Pejo, Damien Desfontaines.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a viii, 89 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5776
505 0 $a 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.
520 $a 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.
650 0 $a Computer security. $3 184416
650 0 $a Data privacy. $3 919820
650 1 4 $a Privacy. $3 268519
650 2 4 $a Data and Information Security. $3 913130
650 2 4 $a Cryptology. $3 825728
700 1 $a Desfontaines, Damien. $3 921439
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in computer science. $3 559641
856 4 0 $u https://doi.org/10.1007/978-3-030-96398-9
950 $a Computer Science (SpringerNature-11645)