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FOCS
2010
IEEE
15 years 5 months ago
Boosting and Differential Privacy
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
Cynthia Dwork, Guy N. Rothblum, Salil P. Vadhan
CONEXT
2009
ACM
15 years 5 months ago
Lockr: better privacy for social networks
Today's online social networking (OSN) sites do little to protect the privacy of their users' social networking information. Given the highly sensitive nature of the inf...
Amin Tootoonchian, Stefan Saroiu, Yashar Ganjali, ...
ADC
2007
Springer
145views Database» more  ADC 2007»
16 years 1 months ago
The Privacy of k-NN Retrieval for Horizontal Partitioned Data -- New Methods and Applications
Recently, privacy issues have become important in clustering analysis, especially when data is horizontally partitioned over several parties. Associative queries are the core retr...
Artak Amirbekyan, Vladimir Estivill-Castro
CCS
2005
ACM
16 years 23 days ago
Obfuscated databases and group privacy
We investigate whether it is possible to encrypt a database and then give it away in such a form that users can still access it, but only in a restricted way. In contrast to conve...
Arvind Narayanan, Vitaly Shmatikov
SOUPS
2005
ACM
16 years 23 days ago
Developing privacy guidelines for social location disclosure applications and services
In this article, we describe the design process of Reno, a location-enhanced, mobile coordination tool and person finder. The design process included three field experiments: a ...
Giovanni Iachello, Ian E. Smith, Sunny Consolvo, M...