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ISMIS
2005
Springer
14 years 1 months ago
Statistical Database Modeling for Privacy Preserving Database Generation
Abstract. Testing of database applications is of great importance. Although various studies have been conducted to investigate testing techniques for database design, relatively fe...
Xintao Wu, Yongge Wang, Yuliang Zheng
SIGMOD
2007
ACM
156views Database» more  SIGMOD 2007»
14 years 7 months ago
M-invariance: towards privacy preserving re-publication of dynamic datasets
The previous literature of privacy preserving data publication has focused on performing "one-time" releases. Specifically, none of the existing solutions supports re-pu...
Xiaokui Xiao, Yufei Tao
KDD
2004
ACM
159views Data Mining» more  KDD 2004»
14 years 27 days ago
Optimal randomization for privacy preserving data mining
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
Michael Yu Zhu, Lei Liu
DMIN
2009
180views Data Mining» more  DMIN 2009»
13 years 5 months ago
APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining
While the emerging field of privacy preserving data mining (PPDM) will enable many new data mining applications, it suffers from several practical difficulties. PPDM algorithms are...
Jimmy Secretan, Anna Koufakou, Michael Georgiopoul...
SIGMOD
2008
ACM
189views Database» more  SIGMOD 2008»
14 years 7 months ago
Dynamic anonymization: accurate statistical analysis with privacy preservation
A statistical database (StatDB) retrieves only aggregate results, as opposed to individual tuples. This paper investigates the construction of a privacy preserving StatDB that can...
Xiaokui Xiao, Yufei Tao