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DASFAA
2007
IEEE
195views Database» more  DASFAA 2007»
14 years 2 months ago
Quality Aware Privacy Protection for Location-Based Services
Protection of users’ privacy has been a central issue for location-based services (LBSs). In this paper, we classify two kinds of privacy protection requirements in LBS: location...
Zhen Xiao, Xiaofeng Meng, Jianliang Xu
PODS
2012
ACM
244views Database» more  PODS 2012»
11 years 10 months ago
A rigorous and customizable framework for privacy
In this paper we introduce a new and general privacy framework called Pufferfish. The Pufferfish framework can be used to create new privacy definitions that are customized t...
Daniel Kifer, Ashwin Machanavajjhala
WWW
2006
ACM
14 years 8 months ago
Protecting browser state from web privacy attacks
Through a variety of means, including a range of browser cache methods and inspecting the color of a visited hyperlink, client-side browser state can be exploited to track users a...
Collin Jackson, Andrew Bortz, Dan Boneh, John C. M...
CORR
2010
Springer
162views Education» more  CORR 2010»
13 years 5 months ago
Differential Privacy versus Quantitative Information Flow
Differential privacy is a notion of privacy that has become very popular in the database community. Roughly, the idea is that a randomized query mechanism provides sufficient priva...
Mário S. Alvim, Konstantinos Chatzikokolaki...
SIGMOD
2012
ACM
220views Database» more  SIGMOD 2012»
11 years 10 months ago
GUPT: privacy preserving data analysis made easy
It is often highly valuable for organizations to have their data analyzed by external agents. However, any program that computes on potentially sensitive data risks leaking inform...
Prashanth Mohan, Abhradeep Thakurta, Elaine Shi, D...