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» Deriving Private Information from Randomized Data
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CSE
2009
IEEE
15 years 4 months ago
Noise Injection for Search Privacy Protection
Abstract—Extensive work has been devoted to private information retrieval and privacy preserving data mining. To protect user privacy from search engines, however, most current a...
Shaozhi Ye, Shyhtsun Felix Wu, Raju Pandey, Hao Ch...
CORR
2010
Springer
154views Education» more  CORR 2010»
14 years 9 months ago
Causal Markov condition for submodular information measures
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
Bastian Steudel, Dominik Janzing, Bernhard Sch&oum...
ICDM
2009
IEEE
223views Data Mining» more  ICDM 2009»
15 years 4 months ago
Differential Privacy for Clinical Trial Data: Preliminary Evaluations
—The concept of differential privacy as a rigorous definition of privacy has emerged from the cryptographic community. However, further careful evaluation is needed before we ca...
Duy Vu, Aleksandra Slavkovic
PERCOM
2004
ACM
15 years 9 months ago
Learning to Detect User Activity and Availability from a Variety of Sensor Data
Using a networked infrastructure of easily available sensors and context-processing components, we are developing applications for the support of workplace interactions. Notions o...
Dave Snowdon, Jean-Luc Meunier, Martin Mühlen...
VLDB
1991
ACM
126views Database» more  VLDB 1991»
15 years 1 months ago
Deriving Production Rules for Incremental View Maintenance
It is widely recognized that production rules in database systems can be used to automatically maintain derived data such as views. However, writing a correct set of rules for e ci...
Stefano Ceri, Jennifer Widom