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» A Data Privacy Taxonomy
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ICDE
2007
IEEE
165views Database» more  ICDE 2007»
16 years 5 months ago
On Randomization, Public Information and the Curse of Dimensionality
A key method for privacy preserving data mining is that of randomization. Unlike k-anonymity, this technique does not include public information in the underlying assumptions. In ...
Charu C. Aggarwal
ICDE
2009
IEEE
255views Database» more  ICDE 2009»
16 years 5 months ago
Database Management as a Service: Challenges and Opportunities
Data outsourcing or database as a service is a new paradigm for data management in which a third party service provider hosts a database as a service. The service provides data man...
Ahmed Metwally, Amr El Abbadi, Divyakant Agrawal, ...
CORR
2010
Springer
136views Education» more  CORR 2010»
15 years 1 months ago
Personalized Data Set for Analysis
Data Management portfolio within an organization has seen an upsurge in initiatives for compliance, security, repurposing and storage within and outside the organization. When suc...
Vishal Gupta, Ashutosh Saxena
ICDE
2008
IEEE
498views Database» more  ICDE 2008»
17 years 3 months ago
Injector: Mining Background Knowledge for Data Anonymization
Existing work on privacy-preserving data publishing cannot satisfactorily prevent an adversary with background knowledge from learning important sensitive information. The main cha...
Tiancheng Li, Ninghui Li
SDM
2007
SIAM
130views Data Mining» more  SDM 2007»
15 years 5 months ago
Towards Attack-Resilient Geometric Data Perturbation
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
Keke Chen, Gordon Sun, Ling Liu