Differentially private partition selection

Many data analysis operations can be expressed as a GROUP BY query on an unbounded set of partitions, followed by a per-partition aggregation. To make such a query differentially private, adding noise to each aggregation is not enough: we also need to make sure that the set of partitions released is...

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Autores principales:	Desfontaines Damien, Voss James, Gipson Bryant, Mandayam Chinmoy
Formato:	article
Lenguaje:	EN
Publicado:	Sciendo 2022
Materias:	data privacy differential privacy Ethics BJ1-1725 Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/2e1cf58588f649af83395584400bc266
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spelling	oai:doaj.org-article:2e1cf58588f649af83395584400bc2662021-12-05T14:11:10ZDifferentially private partition selection2299-098410.2478/popets-2022-0017https://doaj.org/article/2e1cf58588f649af83395584400bc2662022-01-01T00:00:00Zhttps://doi.org/10.2478/popets-2022-0017https://doaj.org/toc/2299-0984Many data analysis operations can be expressed as a GROUP BY query on an unbounded set of partitions, followed by a per-partition aggregation. To make such a query differentially private, adding noise to each aggregation is not enough: we also need to make sure that the set of partitions released is also differentially private.Desfontaines DamienVoss JamesGipson BryantMandayam ChinmoySciendoarticledata privacydifferential privacyEthicsBJ1-1725Electronic computers. Computer scienceQA75.5-76.95ENProceedings on Privacy Enhancing Technologies, Vol 2022, Iss 1, Pp 339-352 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	data privacy differential privacy Ethics BJ1-1725 Electronic computers. Computer science QA75.5-76.95
spellingShingle	data privacy differential privacy Ethics BJ1-1725 Electronic computers. Computer science QA75.5-76.95 Desfontaines Damien Voss James Gipson Bryant Mandayam Chinmoy Differentially private partition selection
description	Many data analysis operations can be expressed as a GROUP BY query on an unbounded set of partitions, followed by a per-partition aggregation. To make such a query differentially private, adding noise to each aggregation is not enough: we also need to make sure that the set of partitions released is also differentially private.
format	article
author	Desfontaines Damien Voss James Gipson Bryant Mandayam Chinmoy
author_facet	Desfontaines Damien Voss James Gipson Bryant Mandayam Chinmoy
author_sort	Desfontaines Damien
title	Differentially private partition selection
title_short	Differentially private partition selection
title_full	Differentially private partition selection
title_fullStr	Differentially private partition selection
title_full_unstemmed	Differentially private partition selection
title_sort	differentially private partition selection
publisher	Sciendo
publishDate	2022
url	https://doaj.org/article/2e1cf58588f649af83395584400bc266
work_keys_str_mv	AT desfontainesdamien differentiallyprivatepartitionselection AT vossjames differentiallyprivatepartitionselection AT gipsonbryant differentiallyprivatepartitionselection AT mandayamchinmoy differentiallyprivatepartitionselection
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Differentially private partition selection

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