Natural differential privacy—a perspective on protection guarantees
We introduce “Natural” differential privacy (NDP)—which utilizes features of existing hardware architecture to implement differentially private computations. We show that NDP both guarantees strong bounds on privacy loss and constitutes a practical exception to no-free-lunch theorems on privacy. We...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2023-09-01
|
Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-1576.pdf |
_version_ | 1797670123581997056 |
---|---|
author | Micah Altman Aloni Cohen |
author_facet | Micah Altman Aloni Cohen |
author_sort | Micah Altman |
collection | DOAJ |
description | We introduce “Natural” differential privacy (NDP)—which utilizes features of existing hardware architecture to implement differentially private computations. We show that NDP both guarantees strong bounds on privacy loss and constitutes a practical exception to no-free-lunch theorems on privacy. We describe how NDP can be efficiently implemented and how it aligns with recognized privacy principles and frameworks. We discuss the importance of formal protection guarantees and the relationship between formal and substantive protections. |
first_indexed | 2024-03-11T20:55:09Z |
format | Article |
id | doaj.art-bad5e5ea09a3487aaf1d84481f838643 |
institution | Directory Open Access Journal |
issn | 2376-5992 |
language | English |
last_indexed | 2024-03-11T20:55:09Z |
publishDate | 2023-09-01 |
publisher | PeerJ Inc. |
record_format | Article |
series | PeerJ Computer Science |
spelling | doaj.art-bad5e5ea09a3487aaf1d84481f8386432023-09-30T15:05:09ZengPeerJ Inc.PeerJ Computer Science2376-59922023-09-019e157610.7717/peerj-cs.1576Natural differential privacy—a perspective on protection guaranteesMicah Altman0Aloni Cohen1CREOS, MIT Libraries, Massachusetts Institute of Technology, Cambridge, MA, United StatesComputer Science, University of Chicago, Chicago, IL, USAWe introduce “Natural” differential privacy (NDP)—which utilizes features of existing hardware architecture to implement differentially private computations. We show that NDP both guarantees strong bounds on privacy loss and constitutes a practical exception to no-free-lunch theorems on privacy. We describe how NDP can be efficiently implemented and how it aligns with recognized privacy principles and frameworks. We discuss the importance of formal protection guarantees and the relationship between formal and substantive protections.https://peerj.com/articles/cs-1576.pdfDifferential privacyPhysical mechanismsNo free lunchPrivacy by designPrivacy by default |
spellingShingle | Micah Altman Aloni Cohen Natural differential privacy—a perspective on protection guarantees PeerJ Computer Science Differential privacy Physical mechanisms No free lunch Privacy by design Privacy by default |
title | Natural differential privacy—a perspective on protection guarantees |
title_full | Natural differential privacy—a perspective on protection guarantees |
title_fullStr | Natural differential privacy—a perspective on protection guarantees |
title_full_unstemmed | Natural differential privacy—a perspective on protection guarantees |
title_short | Natural differential privacy—a perspective on protection guarantees |
title_sort | natural differential privacy a perspective on protection guarantees |
topic | Differential privacy Physical mechanisms No free lunch Privacy by design Privacy by default |
url | https://peerj.com/articles/cs-1576.pdf |
work_keys_str_mv | AT micahaltman naturaldifferentialprivacyaperspectiveonprotectionguarantees AT alonicohen naturaldifferentialprivacyaperspectiveonprotectionguarantees |