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» Private Inference Control for Aggregate Database Queries
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FOCS
2008
IEEE
14 years 2 months ago
What Can We Learn Privately?
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...
DOLAP
2004
ACM
14 years 1 months ago
Cardinality-based inference control in OLAP systems: an information theoretic approach
We address the inference control problem in data cubes with some data known to users through external knowledge. The goal of inference controls is to prevent exact values of sensi...
Nan Zhang 0004, Wei Zhao, Jianer Chen
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
11 years 10 months ago
Differentially private transit data publication: a case study on the montreal transportation system
With the wide deployment of smart card automated fare collection (SCAFC) systems, public transit agencies have been benefiting from huge volume of transit data, a kind of sequent...
Rui Chen, Benjamin C. M. Fung, Bipin C. Desai, N&e...
SIGMOD
2004
ACM
160views Database» more  SIGMOD 2004»
14 years 7 months ago
Extending Query Rewriting Techniques for Fine-Grained Access Control
Current day database applications, with large numbers of users, require fine-grained access control mechanisms, at the level of individual tuples, not just entire relations/views,...
Shariq Rizvi, Alberto O. Mendelzon, S. Sudarshan, ...
VLDB
2000
ACM
129views Database» more  VLDB 2000»
13 years 11 months ago
Offering a Precision-Performance Tradeoff for Aggregation Queries over Replicated Data
Strict consistency of replicated data is infeasible or not required by many distributed applications, so current systems often permit stale replication, in which cached copies of ...
Chris Olston, Jennifer Widom