Differential Privacy and Noisy Confidentiality Concepts for European Population Statistics

Revisiting the Economics of Privacy: Population Statistics and Confidentiality Protection as Public Goods

We consider the problem of the public release of statistical information about a population–explicitly accounting for the public-good properties of both data accuracy and privacy loss. We first consider the implications of adding the public-good component to recently published models of private data publication under differential privacy guarantees using a Vickery-Clark-Groves mechanism and a L...

Privacy Homomorphisms for Statistical Confidentiality

When publishing contingency tables which contain official statistics, a need to preserve statistical confidentiality arises. Statistical disclosure of individual units must be prevented. There is a wide choice of techniques to achieve this anonymization: cell suppression, cell perturbation, etc. In this paper, we tackle the problem of using anonymized data to compute exact statistics; our appro...

Saying privacy, meaning confidentiality.

Privacy, confidentiality and automated health information Privacy, confidentiality and automated health information systems

Professor Vuori's paper, first presented at the fourth Medico-legal Conference in Prague in the spring of this year, deals with the problem of the maintenance of confidentiality in computerized health records. Although more and more information is required, the hardware of the computer systems is so sophisticated that it would be very expensive indeed to 'break in' and stealfrom a modern data b...

Confidentiality without Encryption For Cloud Computational Privacy

Advances in technology has given rise to new computing models where any individual/organization (Cloud Service Consumers here by denoted as CSC's) can outsource their computational intensive tasks on their data to a remote Cloud Service Provider (CSP) for many advantages like lower costs , scalability etc. But such advantages come for a bigger cost “Security and Privacy of data” for this very r...