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TKDE
2011
472views more  TKDE 2011»
7 years 11 months ago
Anonymous Publication of Sensitive Transactional Data
Abstract—Existing research on privacy-preserving data publishing focuses on relational data: in this context, the objective is to enforce privacy-preserving paradigms, such as k-...
Gabriel Ghinita, Panos Kalnis, Yufei Tao
BNCOD
2008
88views Database» more  BNCOD 2008»
8 years 6 months ago
An Empirical Study of Utility Measures for k-Anonymisation
Abstract. k-Anonymisation is a technique for masking microdata in order to prevent individual identification. Besides preserving privacy, data anonymised by such a method must also...
Grigorios Loukides, Jianhua Shao
ICDE
2010
IEEE
184views Database» more  ICDE 2010»
8 years 8 months ago
On optimal anonymization for l+-diversity
-- Publishing person specific data while protecting privacy is an important problem. Existing algorithms that enforce the privacy principle called l-diversity are heuristic based d...
Junqiang Liu, Ke Wang
ICDT
2010
ACM
172views Database» more  ICDT 2010»
8 years 9 months ago
k-jump strategy for preserving privacy in micro-data disclosure
In disclosing micro-data with sensitive attributes, the goal is usually two fold. First, the data utility of disclosed data should be maximized for analysis purposes. Second, the ...
Wen Ming Liu, Lingyu Wang, Lei Zhang
DASFAA
2009
IEEE
129views Database» more  DASFAA 2009»
8 years 11 months ago
Towards Preference-Constrained k-Anonymisation
Abstract. In this paper, we propose a novel preference-constrained approach to k-anonymisation. In contrast to the existing works on kanonymisation which attempt to satisfy a minim...
Grigorios Loukides, Achilles Tziatzios, Jianhua Sh...
KDD
2009
ACM
133views Data Mining» more  KDD 2009»
9 years 5 months ago
On the tradeoff between privacy and utility in data publishing
In data publishing, anonymization techniques such as generalization and bucketization have been designed to provide privacy protection. In the meanwhile, they reduce the utility o...
Tiancheng Li, Ninghui Li
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