Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/88240
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dc.contributorDepartment of Electronic and Information Engineeringen_US
dc.creatorYe, Qen_US
dc.creatorHu, Hen_US
dc.date.accessioned2020-09-29T02:22:14Z-
dc.date.available2020-09-29T02:22:14Z-
dc.identifier.issn1865-0929en_US
dc.identifier.urihttp://hdl.handle.net/10397/88240-
dc.descriptionWeb Information Systems Engineering, WISE 2019, Workshop, Demo, and Tutorial, Hong Kong and Macau, China, January 19–22, 2020en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights© Springer Nature Singapore Pte Ltd. 2020en_US
dc.rightsYe Q., Hu H. (2020) Local Differential Privacy: Tools, Challenges, and Opportunities. In: U L., Yang J., Cai Y., Karlapalem K., Liu A., Huang X. (eds) Web Information Systems Engineering. WISE 2020. Communications in Computer and Information Science, vol 1155. Springer, Singapore.en_US
dc.rightsThe final authenticated version is available online at https://doi.org/10.1007/978-981-15-3281-8_2en_US
dc.subjectData collectionen_US
dc.subjectData analysisen_US
dc.subjectLocal differential privacyen_US
dc.titleLocal differential privacy : tools, challenges, and opportunitiesen_US
dc.typeConference Paperen_US
dc.identifier.spage13en_US
dc.identifier.epage23en_US
dc.identifier.volume1155en_US
dc.identifier.doi10.1007/978-981-15-3281-8_2en_US
dcterms.abstractLocal Differential Privacy (LDP), where each user perturbs her data locally before sending to an untrusted party, is a new and promising privacy-preserving model. Endorsed by both academia and industry, LDP provides strong and rigorous privacy guarantee for data collection and analysis. As such, it has been recently deployed in many real products by several major software and Internet companies, including Google, Apple and Microsoft in their mainstream products such as Chrome, iOS, and Windows 10. Besides industry, it has also attracted a lot of research attention from academia. This tutorial first introduces the rationale of LDP model behind these deployed systems to collect and analyze usage data privately, then surveys the current research landscape in LDP, and finally identifies several open problems and research directions in this community.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationCommunications in computer and information science, 2020, v. 1155, p. 13-23en_US
dcterms.isPartOfCommunications in computer and information scienceen_US
dcterms.issued2020-
dc.relation.conferenceInternational Conference on Web Information Systems Engineering [WISE]en_US
dc.identifier.eissn1865-0937en_US
dc.description.validate202009 bcrcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera0483-n05en_US
dc.description.pubStatusPublisheden_US
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