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A Learning Theory Approach to Noninteractive Database Privacy AVRIM BLUM, Carnegie Mellon University KATRINA LIGETT, California Institute of Technology AARON ROTH, University of Pennsylvania In this article, we demonstr
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Document Date: 2013-05-29 13:54:34

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City

Pittsburgh / New York / /

Company

ACM Inc. / /

Country

United States / /

Currency

USD / /

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Facility

University of Pennsylvania In / Penn Plaza / Carnegie Mellon University / California Institute of Technology AARON ROTH / California Institute of Technology / University of Pennsylvania / /

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IndustryTerm

privacy preserving polynomial time algorithm / low error using algorithms / online learning algorithms / online mechanisms / computing / online mechanism / parity learning algorithm / query release algorithms / learning algorithm / learning algorithms / /

Organization

University of Pennsylvania In / California Institute of Technology / Charles Lee Powell Foundation / National Science Foundation / Department of Computer Science / University of Pennsylvania / Department of Computer / Carnegie Mellon University / /

Person

KATRINA LIGETT / AARON ROTH / /

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Position

Problem Complexity General / analyst / /

ProgrammingLanguage

C / /

ProvinceOrState

Pennsylvania / New York / /

PublishedMedium

Journal of the ACM / The Journal of the ACM / /

Technology

learning algorithm / parity learning algorithm / low error using algorithms / 9 ALGORITHM / machine learning / privacy preserving polynomial time algorithm / simulation / private query release algorithms / online learning algorithms / /

URL

http /

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