58 search results - page 3 / 12 » Movement Data Anonymity through Generalization |
RC
2007
13 years 5 months ago
2007
This paper develops easily computed, tight bounds on Generalized Linear Predictors and instrumental variable estimators when outcome data are partially identi…ed. A salient exam...
KDD
2006
ACM
14 years 6 months ago
2006
ACM
Protecting data privacy is an important problem in microdata distribution. Anonymization algorithms typically aim to protect individual privacy, with minimal impact on the quality...
KDD
2007
ACM
14 years 6 months ago
2007
ACM
Privacy-preserving data mining (PPDM) is an important topic to both industry and academia. In general there are two approaches to tackling PPDM, one is statistics-based and the oth...
ICDE
2009
IEEE
15 years 5 months ago
2009
IEEE
Recent work has shown the importance of considering the adversary’s background knowledge when reasoning about privacy in data publishing. However, it is very difficult
for the d...
ICDE
2008
IEEE
14 years 7 months ago
2008
IEEE
In this paper we introduce new notions of k-type anonymizations. Those notions achieve similar privacy goals as those aimed by Sweenie and Samarati when proposing the concept of k-...