Controlled rounding for tables with subtotals
Annals of Operations Research
Security-control methods for statistical databases: a comparative study
ACM Computing Surveys (CSUR)
Security of statistical databases: multidimensional transformation
ACM Transactions on Database Systems (TODS)
Secure databases: protection against user influence
ACM Transactions on Database Systems (TODS)
A security machanism for statistical database
ACM Transactions on Database Systems (TODS)
A General Additive Data Perturbation Method for Database Security
Management Science
Privacy-preserving data mining
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Partial cell suppression: A new methodology for statistical disclosure control
Statistics and Computing
Secure Databases: Constraints, Inference Channels, and Monitoring Disclosures
IEEE Transactions on Knowledge and Data Engineering
Practical Data-Oriented Microaggregation for Statistical Disclosure Control
IEEE Transactions on Knowledge and Data Engineering
Advances in Inference Control in Statistical Databases: An Overview
Inference Control in Statistical Databases, From Theory to Practice
The inference problem: a survey
ACM SIGKDD Explorations Newsletter
Transforming data to satisfy privacy constraints
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
On the Privacy Preserving Properties of Random Data Perturbation Techniques
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Solving the Cell Suppression Problem on Tabular Data with Linear Constraints
Management Science
Bottom-Up Generalization: A Data Mining Solution to Privacy Protection
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Deriving private information from randomized data
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
IEEE Transactions on Knowledge and Data Engineering
Privacy Preserving Data Classification with Rotation Perturbation
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
\ell -Diversity: Privacy Beyond \kappa -Anonymity
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Practical Inference Control for Data Cubes (Extended Abstract)
SP '06 Proceedings of the 2006 IEEE Symposium on Security and Privacy
Auditing and Inference Control in Statistical Databases
IEEE Transactions on Software Engineering
Privacy disclosure analysis and control for 2D contingency tables containing inaccurate data
PSD'10 Proceedings of the 2010 international conference on Privacy in statistical databases
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Disclosure analysis and control are critical to protect sensitive information in statistical databases when some statistical moments are released. A generic question in disclosure analysis is whether a data snooper can deduce any sensitive information from available statistical moments. To address this question, we consider various types of possible disclosure based on the exact bounds that a snooper can infer about any protected moments from available statistical moments. We focus on protecting static moments in two-dimensional tables and obtain the following results. For each type of disclosure, we reveal the distribution patterns of protected moments that are subject to disclosure. Based on the disclosure patterns, we design efficient algorithms to discover all protected moments that are subject to disclosure. Also based on the disclosure patterns, we propose efficient algorithms to eliminate all possible disclosures by combining a minimum number of available moments. We also discuss the difficulties of executing disclosure analysis and control in high-dimensional tables.