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Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007)
Private Inference Control for Aggregate Database Queries
Omaha, Nebraska, USA
October 28-October 31
ISBN: 0-7695-3033-8
ASCII Text
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Geetha Jagannathan, Rebecca N. Wright, "Private Inference Control for Aggregate Database Queries," Data Mining Workshops, International Conference on, pp. 711-716, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007), 2007.
 
 
BibTex
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@article{ 10.1109/ICDMW.2007.66,
author = {Geetha Jagannathan and Rebecca N. Wright},
title = {Private Inference Control for Aggregate Database Queries},
journal ={Data Mining Workshops, International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-3033-8},
pages = {711-716},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDMW.2007.66},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Mining Workshops, International Conference on
TI - Private Inference Control for Aggregate Database Queries
SN - 0-7695-3033-8
SP711
EP716
A1 - Geetha Jagannathan,
A1 - Rebecca N. Wright,
PY - 2007
VL - 0
JA - Data Mining Workshops, International Conference on
ER -
 
We study private inference control for aggregate queries, such as those provided by statistical databases or modern database languages, to a database in a way that satisfies privacy requirements and inference control requirements. For each query, the client learns the value of the function for that query if and only if the query passes a specified in- ference control rule. The server learns nothing about the queries, and the client learns nothing other than the query output for passing queries. We present general protocols for aggregate queries with private inference control.
Citation:
Geetha Jagannathan, Rebecca N. Wright, "Private Inference Control for Aggregate Database Queries," icdmw, pp.711-716, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007), 2007
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