Guide to Differential Privacy Modifications : A Taxonomy of Variants and Extensions
1st ed. 2022
Book Details
Format
Paperback / Softback
Book Series
SpringerBriefs in Computer Science
ISBN-10
3030963977
ISBN-13
9783030963972
Edition
1st ed. 2022
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Apr 10th, 2022
Print length
89 Pages
Weight
168 grams
Dimensions
15.40 x 23.40 x 0.90 cms
Product Classification:
Coding theory & cryptologyPrivacy & data protection
Ksh 9,000.00
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Shortly after it was ?rst introduced in 2006, di?erential privacy became the ?agship data privacy de?nition. Since then, numerous variants and extensions were proposed to adapt it to di?erent scenarios and attacker models. In this work, we propose a systematic taxonomy of these variants and extensions. We list all data privacy de?nitions based on di?erential privacy, and partition them into seven categories, depending on which aspect of the original de?nition is modi?ed. These categories act like dimensions: Variants from the same category cannot be combined, but variants from di?erent categories can be combined to form new de?nitions. We also establish a partial ordering of relative strength between these notions by summarizing existing results. Furthermore, we list which of these de?nitions satisfy some desirable properties, like composition, post-processing, and convexity by either providing a novel proof or collectingexisting ones.
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.
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