DIMACS Working Group on Data De-Identification, Combinatorial Optimization, Graph Theory,
and the Stat/OR Interface
November 9 - 10, 2004
DIMACS Center, CoRE Building, Rutgers University, Piscataway, New Jersey
- Organizers:
- Larry Cox, CDC, lcox@cdc.gov
- Brenda Latka, DIMACS, latka@dimacs.rutgers.edu
- Fred Roberts, DIMACS, froberts@dimacs.rutgers.edu
Presented under the auspices of the Special
Focus on Communication Security and Information Privacy and
Special Focus on Computational and Mathematical Epidemiology.
This is a subgroup meeting of the DIMACS Working Group on Privacy / Confidentiality of Health Data.
Background References
Some invitees have asked about general background reading on
de-identification. None of the following references is a survey
paper, but each introduces the overall de-identification problem in
2-dimensional tables mathematically, focuses on a subproblem of
interest, and offers a mathematical model for solving the subproblem.
Controlled rounding:
- Cox, LH. and LR Ernst. Controlled rounding. INFOR 20, 1982,
423-432.
- Causey, BD, LH Cox and LR Ernst. Applications of
transportation theory to statistical problems. Journal of
the American Statistical Association 80, 1985, 903-909.
- Cox, LH. and JA George. Controlled rounding for tables with
subtotals. Annals of Operations Research 20, 1989,
141-157.
Cell suppression:
- Gusfield, D. A graph theoretic approach to statistical data
security. SIAM Journal on Computing 17, 552-571.
- Cox, LH. Network models for complementary cell suppression.
Journal of the American Statistical Association 90, 1995, 1453-1462.
- Fischetti, M and JJ Salazar-Gonzalez. Models and algorithms
for the 2-dimensional cell suppression problem in
statistical disclosure control. Mathematical Programming
84, 1999, 283-312.
Previous: Participation
Workshop Index
DIMACS Homepage
Contacting the Center
Document last modified on November 1, 2004.