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	A Privacy Framework: Indistinguishable Privacy
	Liu jinfei; Xiongli; Luo jun
	2013
会议名称	Joint EDBT/ICDT 2013 Workshops
会议地点	Genoa, Italy
英文摘要	In this paper we illustrate a privacy framework named Indistinguishable Privacy. Indistinguishable privacy could be deemed as the formalization of the existingprivacy definitions in privacy preserving data publishing as well as secure multi-party computation. We introduce three variants of the representative privacy notions in the literature, Bayes-optimal privacy for privacy preserving data publishing, differential privacy for statistical data release, and privacy w.r.t. semi-honest behavior in the secure multi-party computation setting, and prove they are equivalent. To the best of our knowledge, this is the first work that illustrates the relationships of these privacy definitions and unifies them through one framework. © 2013 ACM.(37 refs)
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/5135]
专题	深圳先进技术研究院_数字所
作者单位	2013
推荐引用方式 GB/T 7714	Liu jinfei,Xiongli,Luo jun. A Privacy Framework: Indistinguishable Privacy[C]. 见:Joint EDBT/ICDT 2013 Workshops. Genoa, Italy.

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