In this paper we study the safety of distance preserving data transformations proposed for privacy preserving data mining. We show that an adversary can recover ...

This paper studies the safety of distance preserving data transformations proposed for privacy preserving data mining and shows that an adversary can ...

We show that an adversary can recover the original data values with very high confidence via knowledge of mutual distances between data objects together with ...

Abstract. One of the fundamental challenges that the data mining com- munity faces today is privacy. The question “How are we going to do.

The paper describes a new method for assessing dis closure risk for tables of counts; the subtraction attribution probability (SAP) method.

Jul 9, 2008 · Liu, Giannella, Kargupta: Attack on perturbed data. Mutual distances: Fact Are useful in many analytical techniques.

Abstract. Location tracking devices enable trajectories to be collected for new services and applications such as vehicle tracking and fleet management.

Disclosure risks of distance preserving data transformations‏. EO Turgay, TB Pedersen, Y Saygın, E Savaş, A Levi‏. Scientific and Statistical Database ...

The data mining community is concerned with protecting privacy of personal information that may be recorded about individuals (e.g., medical history); methods ...