Abstract
Data releases to the public should ensure the privacy of individuals involved in the data. Several privacy mechanisms have been proposed in the literature. One such technique is that of data anonymization. For example, synthetic data sets are generated and released. In this paper we analyze the privacy aspects of synthetic data sets. In particular, we introduce a natural notion of privacy and employ it for synthetic data sets.
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Rajasekaran, S., Harel, O., Zuba, M., Matthews, G., Aseltine, R. (2009). Responsible Data Releases. In: Perner, P. (eds) Advances in Data Mining. Applications and Theoretical Aspects. ICDM 2009. Lecture Notes in Computer Science(), vol 5633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03067-3_31
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DOI: https://doi.org/10.1007/978-3-642-03067-3_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03066-6
Online ISBN: 978-3-642-03067-3
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