Guide to Differential Privacy Modifications: A Taxonomy of Variants and Extensions (SpringerBriefs in Computer Science) - Softcover

Pejó, Balázs; Desfontaines, Damien

Softcover

ISBN 10: 3030963977 ISBN 13: 9783030963972

Publisher: Springer, 2022

Synopsis

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 collectingexisting ones.

Edition details

• Publisher: Springer
• Publication date: 2022
• Language: English
• ISBN 10: 3030963977
• ISBN 13: 9783030963972
• Binding: Paperback
• Edition number: 1
• Number of pages: 100