Additive noise and multiplicative bias as disclosure limitation techniques for continuous microdata: A simulation study
Mario Trottini, Stephen E. Fienberg, Udi E. Makov, M.M. Meyer · Journal of Computational Methods in Sciences and Engineering · 2004
This paper focuses on a combination of two disclosure limitation techniques, additive noise and multiplicative bias, and studies their efficacy in protecting confidentiality of continuous microdata. A Bayesian intruder model is extensively simulated