Learning Numeric Optimal Differentially Private Truncated Additive Mechanisms.

David M. Sommer; Lukas Abfalterer; Sheila Zingg; Esfandiar Mohammadi

Learning Numeric Optimal Differentially Private Truncated Additive Mechanisms.

David M. Sommer, Lukas Abfalterer, Sheila Zingg, Esfandiar Mohammadi

Institute of IT-Security

Original language	English
Publication status	Published - 2021

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https://dblp.org/rec/journals/corr/abs-2107-12957

Cite this

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title = "Learning Numeric Optimal Differentially Private Truncated Additive Mechanisms.",

author = "Sommer, {David M.} and Lukas Abfalterer and Sheila Zingg and Esfandiar Mohammadi",

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AU - Sommer, David M.

AU - Abfalterer, Lukas

AU - Zingg, Sheila

AU - Mohammadi, Esfandiar

N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2021

Y1 - 2021

M3 - Other

VL - abs/2107.12957

PB - arXiv

ER -