ABSTRACT The Census TopDown Algorithm (TDA) is a disclosure avoidance system using
differential privacy for privacy-loss accounting. The algorithm ingests the final, edited version …

Privacy is an important issue when one wants to make use of data that involves individuals'
sensitive information. Research on protecting the privacy of individuals and the …

Among the goals of statistical matching, a very important one is the estimation of the joint
distribution of variables not jointly observed in a sample survey but separately available from …

The rapid growth of transactional data brought, soon enough, into attention the need of its
further exploitation. In this paper, we investigate the problem of securing sensitive …

Multilayer networks allow one to represent diverse and coupled connectivity patterns—such
as time-dependence, multiple subsystems, or both—that arise in many applications and …

This article considers the assessment of the risk of identification of respondents in survey
microdata, in the context of applications at the United Kingdom (UK) Office for National …

Sensitive knowledge hiding in large transactional databases is one of the major goals of
privacy preserving data mining. However, it is only recently that researchers were able to …

The growing expanse of e-commerce and the widespread availability of online databases
raise many fears regarding loss of privacy and many statistical challenges. Even with …

The machine learning community has focused on confidentiality problems associated with
statistical analyses that “integrate” data stored in multiple, distributed databases where there …

A new algorithm, SUDA2, is presented which finds minimally unique itemsets ie, minimal
itemsets of frequency one. These itemsets, referred to as Minimal Sample Uniques (MSUs) …