Sciweavers

83 search results - page 6 / 17
» Fine-Grain Perturbation for Privacy Preserving Data Publishi...
Sort
View
ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
13 years 10 months ago
Preserving Privacy through Data Generation
Many databases will not or can not be disclosed without strong guarantees that no sensitive information can be extracted. To address this concern several data perturbation techniq...
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
PODS
2001
ACM
148views Database» more  PODS 2001»
14 years 6 months ago
On the Design and Quantification of Privacy Preserving Data Mining Algorithms
The increasing ability to track and collect large amounts of data with the use of current hardware technology has lead to an interest in the development of data mining algorithms ...
Dakshi Agrawal, Charu C. Aggarwal
SIGKDD
2002
93views more  SIGKDD 2002»
13 years 6 months ago
Randomization in Privacy-Preserving Data Mining
Suppose there are many clients, each having some personal information, and one server, which is interested only in aggregate, statistically significant, properties of this informa...
Alexandre V. Evfimievski
VLDB
2007
ACM
108views Database» more  VLDB 2007»
14 years 7 months ago
Time Series Compressibility and Privacy
In this paper we study the trade-offs between time series compressibility and partial information hiding and their fundamental implications on how we should introduce uncertainty ...
Spiros Papadimitriou, Feifei Li, George Kollios, P...
TSMC
2011
228views more  TSMC 2011»
13 years 1 months ago
Privacy-Preserving Outlier Detection Through Random Nonlinear Data Distortion
— Consider a scenario in which the data owner has some private/sensitive data and wants a data miner to access it for studying important patterns without revealing the sensitive ...
Kanishka Bhaduri, Mark D. Stefanski, Ashok N. Sriv...