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» From Data Privacy to Location Privacy: Models and Algorithms
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PET
2010
Springer
15 years 10 months ago
unFriendly: Multi-party Privacy Risks in Social Networks
Abstract. As the popularity of social networks expands, the information users expose to the public has potentially dangerous implications for individual privacy. While social netwo...
Kurt Thomas, Chris Grier, David M. Nicol
CSE
2009
IEEE
16 years 27 days ago
Social Inference Risk Modeling in Mobile and Social Applications
— The emphasis of emerging mobile and Web 2.0 applications on collaboration and communication increases threats to user privacy. A serious, yet under-researched privacy risk resu...
Sara Motahari, Sotirios G. Ziavras, Mor Naaman, Mo...
SIGMOD
2010
ACM
236views Database» more  SIGMOD 2010»
15 years 11 months ago
Differentially private aggregation of distributed time-series with transformation and encryption
We propose PASTE, the first differentially private aggregation algorithms for distributed time-series data that offer good practical utility without any trusted server. PASTE add...
Vibhor Rastogi, Suman Nath
EDBT
2010
ACM
181views Database» more  EDBT 2010»
15 years 4 months ago
Private record matching using differential privacy
Private matching between datasets owned by distinct parties is a challenging problem with several applications. Private matching allows two parties to identify the records that ar...
Ali Inan, Murat Kantarcioglu, Gabriel Ghinita, Eli...
WWW
2009
ACM
16 years 6 months ago
Collective privacy management in social networks
Social Networking is one of the major technological phenomena of the Web 2.0, with hundreds of millions of people participating. Social networks enable a form of self expression f...
Anna Cinzia Squicciarini, Mohamed Shehab, Federica...