Generation of a synthetic microdata set that reproduces the statistical properties of an original microdata set is a promising approach to statistical disclosure control (SDC) of m...
Minimum-distance controlled perturbation is a recent family of methods for the protection of statistical tabular data. These methods are both efficient and versatile, since can dea...
Abstract. Current network flows heuristics for cell suppression in positive tables (i.e, cell values are greater or equal than zero) rely on the solution of several minimum-cost s...
In this paper we investigate the protein sequence design (PSD) problem (also known as the inverse protein folding problem) under the Canonical model 4 on 2D and 3D lattices [12, 25...
Piotr Berman, Bhaskar DasGupta, Dhruv Mubayi, Robe...
Abstract. Masking methods protect data sets against disclosure by perturbing the original values before publication. Masking causes some information loss (masked data are not exact...