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PAKDD
2010
ACM
275views Data Mining» more  PAKDD 2010»
13 years 8 months ago
Anonymizing Transaction Data by Integrating Suppression and Generalization
Abstract. Privacy protection in publishing transaction data is an important problem. A key feature of transaction data is the extreme sparsity, which renders any single technique i...
Junqiang Liu, Ke Wang
KDD
2008
ACM
163views Data Mining» more  KDD 2008»
14 years 5 months ago
The cost of privacy: destruction of data-mining utility in anonymized data publishing
Re-identification is a major privacy threat to public datasets containing individual records. Many privacy protection algorithms rely on generalization and suppression of "qu...
Justin Brickell, Vitaly Shmatikov
CIKM
2010
Springer
13 years 2 months ago
Anonymizing data with quasi-sensitive attribute values
We study the problem of anonymizing data with quasi-sensitive attributes. Quasi-sensitive attributes are not sensitive by themselves, but certain values or their combinations may ...
Pu Shi, Li Xiong, Benjamin C. M. Fung
ICDE
2010
IEEE
258views Database» more  ICDE 2010»
13 years 11 months ago
Anonymized Data: Generation, models, usage
Data anonymization techniques have been the subject of intense investigation in recent years, for many kinds of structured data, including tabular, item set and graph data. They e...
Graham Cormode, Divesh Srivastava
COCOA
2008
Springer
13 years 6 months ago
Fixed-Parameter Tractability of Anonymizing Data by Suppressing Entries
A popular model for protecting privacy when person-specific data is released is k-anonymity. A dataset is k-anonymous if each record is identical to at least (k - 1) other records ...
Rhonda Chaytor, Patricia A. Evans, Todd Wareham