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Author Reiter, Jerome P. ♦ Machanavajjhala, Ashwin
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract Approaches from computer science and statistical science for assessing and protecting privacy in large, public data sets.
Description Affiliation: Duke University (Machanavajjhala, Ashwin; Reiter, Jerome P.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-12-30
Publisher Place New York
Journal XRDS: Crossroads, The ACM Magazine for Students (XRDS)
Volume Number 19
Issue Number 1
Page Count 4
Starting Page 20
Ending Page 23


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Source: ACM Digital Library