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» Composition and Generalization of Context Data for Privacy P...
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ICFP
2010
ACM
13 years 8 months ago
Distance makes the types grow stronger: a calculus for differential privacy
We want assurances that sensitive information will not be disclosed when aggregate data derived from a database is published. Differential privacy offers a strong statistical guar...
Jason Reed, Benjamin C. Pierce
JCP
2007
121views more  JCP 2007»
13 years 7 months ago
p-Trust: A New Model of Trust to Allow Finer Control Over Privacy in Peer-to-Peer Framework
— Every time a user conducts an electronic transaction over the Internet a wealth of personal information is revealed, either voluntarily or involuntarily. This causes serious br...
Sudip Chakraborty, Indrajit Ray
NDSS
2008
IEEE
14 years 2 months ago
Analyzing Privacy in Enterprise Packet Trace Anonymization
Accurate network measurement through trace collection is critical for advancing network design and for maintaining secure, reliable networks. Unfortunately, the release of network...
Bruno F. Ribeiro, Weifeng Chen, Gerome Miklau, Don...
MHCI
2009
Springer
14 years 2 months ago
A context-sensitive security model for privacy protection on mobile phones
In this paper we present a context-sensitive security model for privacy protection on mobile phones. We describe the system TreasurePhone which implements this security model. The...
Julian Seifert, Alexander De Luca, Bettina Conradi
PVLDB
2008
146views more  PVLDB 2008»
13 years 7 months ago
Resisting structural re-identification in anonymized social networks
We identify privacy risks associated with releasing network data sets and provide an algorithm that mitigates those risks. A network consists of entities connected by links repres...
Michael Hay, Gerome Miklau, David Jensen, Donald F...