Statistical confidentiality: Optimization techniques to protect tables

Perspective Reformulations of the CTA Problem with L2 Distances

“…This justifies the interest in statistical disclosure control, i.e., the set of techniques that can be deployed to protect sensitive information. In particular, the focus of this work is on tabular data protection; seminal work on this field can be found in [2], and the current state-of-the-art is described in the recent surveys of [25] and [6], as well as in the monographs [27,22]. Although tabular data provide aggregated information, the publication of some cells may jeopardize individual information.…”

Improving efficiency of providing data group anonymity by automating data modification quality evaluation

“…-compatibilities of these solutions with imposed restrictions satisfy (2) because μ(q* 1 )=Z MF (13,10,97)•Z MF (8,10, 45)=0.990>α comp ; μ(q* 2 )=Z MF (11, 10, Based on these observations, we can conclude that the solutions presented in Fig. 2 are feasible.…”

“…They imply [13] replacing certain values, which enable us to uniquely identify some records, with more general values, including interval ones.…”

Information preserving regression-based tools for statistical disclosure control

“…The methodology is also directly applicable to tabular data obtained by crossing several categorical variables. Statistical disclosure control for tabular data is an important field and several methods exist (Hundepool et al 2012;Salazar-Gonzalez 2008). In Section 7 we assume that a table suppression method has been applied.…”