Differential Privacy Overview and Fundamental Techniques

Fuente: arXiv
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Autores principales: Fioretto, Ferdinando, Van Hentenryck, Pascal, Ziani, Juba
Formato: Preprint
Publicado: 2024
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author Fioretto, Ferdinando
Van Hentenryck, Pascal
Ziani, Juba
author_facet Fioretto, Ferdinando
Van Hentenryck, Pascal
Ziani, Juba
contents This chapter is meant to be part of the book "Differential Privacy in Artificial Intelligence: From Theory to Practice" and provides an introduction to Differential Privacy. It starts by illustrating various attempts to protect data privacy, emphasizing where and why they failed, and providing the key desiderata of a robust privacy definition. It then defines the key actors, tasks, and scopes that make up the domain of privacy-preserving data analysis. Following that, it formalizes the definition of Differential Privacy and its inherent properties, including composition, post-processing immunity, and group privacy. The chapter also reviews the basic techniques and mechanisms commonly used to implement Differential Privacy in its pure and approximate forms.
format Preprint
id arxiv_https___arxiv_org_abs_2411_04710
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Differential Privacy Overview and Fundamental Techniques
Fioretto, Ferdinando
Van Hentenryck, Pascal
Ziani, Juba
Cryptography and Security
Artificial Intelligence
This chapter is meant to be part of the book "Differential Privacy in Artificial Intelligence: From Theory to Practice" and provides an introduction to Differential Privacy. It starts by illustrating various attempts to protect data privacy, emphasizing where and why they failed, and providing the key desiderata of a robust privacy definition. It then defines the key actors, tasks, and scopes that make up the domain of privacy-preserving data analysis. Following that, it formalizes the definition of Differential Privacy and its inherent properties, including composition, post-processing immunity, and group privacy. The chapter also reviews the basic techniques and mechanisms commonly used to implement Differential Privacy in its pure and approximate forms.
title Differential Privacy Overview and Fundamental Techniques
topic Cryptography and Security
Artificial Intelligence
url https://arxiv.org/abs/2411.04710