Conditions for the existence of solutions of the three-dimensional planar transportation problem
Discrete Applied Mathematics
Optimal mixed graph augmentation
SIAM Journal on Computing
A graph theoretic approach to statistical data security
SIAM Journal on Computing
Controlled rounding for tables with subtotals
Annals of Operations Research
Controlled rounding of tabular data
Operations Research
Efficient detection and protection of information in cross tabulated tables I: linear invariant test
SIAM Journal on Discrete Mathematics
Large-scale controlled rounding using tabu search with strategic oscillation
Annals of Operations Research - Special issue on Tabu search
Three-Dimensional Statistical Data Security Problems
SIAM Journal on Computing
Data Security Equals Graph Connectivity
SIAM Journal on Discrete Mathematics
Partial cell suppression: A new methodology for statistical disclosure control
Statistics and Computing
Cell Suppression Methodology: The Importance of Suppressing Marginal Totals
IEEE Transactions on Knowledge and Data Engineering
Gröbner bases and polyhedral geometry of reducible and cyclic models
Journal of Combinatorial Theory Series A
Bounds on Entries in 3-Dimensional Contingency Tables Subject to Given Marginal Totals
Inference Control in Statistical Databases, From Theory to Practice
Network Flows Heuristics for Complementary Cell Suppression: An Empirical Evaluation and Extensions
Inference Control in Statistical Databases, From Theory to Practice
HiTaS: A Heuristic Approach to Cell Suppression in Hierarchical Tables
Inference Control in Statistical Databases, From Theory to Practice
Cell Suppression: Experience and Theory
Inference Control in Statistical Databases, From Theory to Practice
Interval Protection of Confidential Information in a Database
INFORMS Journal on Computing
Software systems for tabular data releases
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A critique of the sensitivity rules usually employed for statistical table protection
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A theoretical basis for perturbation methods
Statistics and Computing
Preserving confidentiality of high-dimensional tabulated data: Statistical and computational issues
Statistics and Computing
Solving the Cell Suppression Problem on Tabular Data with Linear Constraints
Management Science
The Complexity of Three-Way Statistical Tables
SIAM Journal on Computing
Exact disclosure prevention in two-dimensional statistical tables
Computers and Operations Research
A Shortest-Paths Heuristic for Statistical Data Protection in Positive Tables
INFORMS Journal on Computing
A new approach to round tabular data
PSD'06 Proceedings of the 2006 CENEX-SDC project international conference on Privacy in Statistical Databases
Branch-and-cut versus cut-and-branch algorithms for cell suppression
PSD'10 Proceedings of the 2010 international conference on Privacy in statistical databases
Enhanced controlled tabular adjustment
Computers and Operations Research
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Statistical agencies collect individually identifiable data, process them, and publish statistical summaries (tables). During this process, the agencies are required to protect individually identifiable data through a variety of policies. In all cases, the scope is to provide the data users with useful statistical information, and to assure that the responses from the individuals are protected. To this end, and due to the size of the data, combinatorial problems appear and require algorithmic approaches to find optimal or near-optimal solutions. This article summarizes the main optimization problems and the most relevant contributions from operations research in this area.