When Random Sampling Preserves Privacy

Many organizations such as the U.S. Census publicly release samples of data that they collect about private citizens. These datasets are first anonymized using various techniques and then a small sample is released so as to enable “do-it-yourself” calculations. This paper investigates the privacy of...

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Hauptverfasser:	Chaudhuri, Kamalika, Mishra, Nina
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Applied sciences Computer science control theory systems Cryptography Exact sciences and technology Failure Probability Frequent Itemsets Good Sample Information, signal and communications theory Memory and file management (including protection and security) Memory organisation. Data processing Private Data Sampling Frequency Signal and communications theory Software Telecommunications and information theory
Online-Zugang:	Volltext
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