Applying Differential Privacy to Search Queries in a Policy Based Interactive Framework

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dc.contributor.authorKodeswaran, Palanivel Andiappan
dc.contributor.authorViegas, Evelyne
dc.date.accessioned2018-11-16T20:14:34Z
dc.date.available2018-11-16T20:14:34Z
dc.date.issued2009-11-06
dc.descriptionACM International Workshop on Privacy and Annonymity for Very Large Datasetsen_US
dc.description.abstractWeb search logs are of growing importance to researchers as they help understanding search behavior and search engine performance. However, search logs typically contain sensitive information about users and therefore considerable caution must be exercised when considering releasing the logs to the research community. Current approaches to releasing search logs focus on either protecting the privacy of users or enhancing the utility of data to researchers. In this work, we address the privacy-utility tradeoff by providing safe access to search logs, instead of releasing them. We propose a policy based safe interactive framework built on semantic policies and differential privacy to allow researchers access to search logs, while maintaining the privacy of the users. Semantic policies are used to infer the higher levels of information that can be mined from a dataset based on the fields accessed by a researcher. The accessed fields are then used to build research profile(s) that guide the amount of privacy to be enforced using differential privacy. We show the additional utility that can be obtained in our framework by two demonstrative experiments that involve access to user level information. Our results indicate that valid research can be conducted in our framework without forgoing the privacy of individuals.en_US
dc.description.urihttps://dl.acm.org/citation.cfm?id=1651455en_US
dc.format.extent8 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M26T0H09B
dc.identifier.citationPalanivel Andiappan Kodeswaran and Evelyne Viegas, Applying Differential Privacy to Search Queries in a Policy Based Interactive Framework, ACM International Workshop on Privacy and Annonymity for Very Large Datasets, Pages 25-32 , 2009 , DOI: 10.1145/1651449.1651455en_US
dc.identifier.uri10.1145/1651449.1651455
dc.identifier.urihttp://hdl.handle.net/11603/12039
dc.language.isoen_USen_US
dc.publisherACMen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectPrivacyen_US
dc.subjectPolicyen_US
dc.subjectSemanticsen_US
dc.subjectQueriesen_US
dc.subjectInteractive Frameworken_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleApplying Differential Privacy to Search Queries in a Policy Based Interactive Frameworken_US
dc.typeTexten_US

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