A linear optimization-based method for data privacy in statistical tabular data

DOI10.1080/10556788.2017.1332620zbMath1416.90019OpenAlexW2625392123MaRDI QIDQ4646673

Jordi Castro, José A. González

Publication date: 14 January 2019

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2117/108513

zbMATH Keywords

interior-point methodslinear optimizationbenchmarkingdata sciencedata privacystatistical disclosure controllexicographic optimization

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Multi-objective and goal programming (90C29) Linear programming (90C05) Interior-point methods (90C51)

Related Items (1)

An algorithm for the microaggregation problem using column generation

Uses Software

• BPMPD
• CPLEX
• XPRESS

Cites Work

• Enhanced controlled tabular adjustment
• Fix-and-relax approaches for controlled tabular adjustment
• Recent advances in optimization techniques for statistical tabular data protection
• A heuristic block coordinate descent approach for controlled tabular adjustment
• Mathematical models for applying cell suppression methodology in statistical data protection.
• Feasibility and infeasibility in optimization. Algorithms and computational methods.
• Proper efficiency and the theory of vector maximization
• Minimum-distance controlled perturbation methods for large-scale tabular data protection
• Perspective Reformulations of the CTA Problem with L₂ Distances
• ON ASSESSING THE DISCLOSURE RISK OF CONTROLLED ADJUSTMENT METHODS FOR STATISTICAL TABULAR DATA
• The BPMPD interior point solver for convex quadratic problems
• Matrix Rounding Problems
• Unnamed Item

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