We introduce a new definition of privacy called crowd-blending privacy that strictly relaxes the notion of differential privacy. Roughly speaking, k-crowd blending private saniti...
Johannes Gehrke, Michael Hay, Edward Lui, Rafael P...
Privacy and security concerns can prevent sharing of data, derailing data mining projects. Distributed knowledge discovery, if done correctly, can alleviate this problem. The key ...
This paper tackles a major privacy concern in current location-based services where users have to continuously report their locations to the database server in order to obtain the ...
In many business scenarios, record matching is performed across different data sources with the aim of identifying common information shared among these sources. However such need...
Data integration from multiple autonomous data sources has emerged as an important practical problem. The key requirement for such data integration is that owners of such data nee...
Amr El Abbadi, Aziz Gulbeden, Divyakant Agrawal, F...