Browsing by Author "LeFevre, Kristen"
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Multidimensional K-Anonymity
LeFevre, Kristen; DeWitt, David J.; Ramakrishnan, Raghu (University of Wisconsin-Madison Department of Computer Sciences, 2005)K-Anonymity has been proposed as a mechanism for privacy protection in microdata publishing, and numerous recoding ?models? have been considered for achieving kanonymity. This paper proposes a new multidimensional model, ... -
Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge
Chen, Bee-Chung; LeFevre, Kristen; Ramakrishnan, Raghu (University of Wisconsin-Madison Department of Computer Sciences, 2007)Privacy is an important issue in data publishing. Many organizations distribute non-aggregate personal data for research, and they must take steps to ensure that an adversary cannot predict sensitive information pertaining ... -
Scalable Anonymization Algorithms for Large Data Sets
LeFevre, Kristen; DeWitt, David (University of Wisconsin-Madison Department of Computer Sciences, 2007)k-Anonymity is a widely-studied mechanism for protecting identity when distributing non-aggregate personal data. This basic mechanism can also be extended to protect an individual-level sensitive attribute. Numerous ...