Authors present Anonymeter, a statistical framework to jointly quantify different types of privacy risks in synthetic tabular datasets. We equip this framework with attack-based evaluations for the singling out, linkability, and inference risks, which are the three key indicators of factual anonymization according to data protection regulations, such as the European General Data Protection Regulation […]
anonymisation
A newpaper argues that many promises around privacy-preserving mechanisms will never be fulfilled and we need to accept these inherent limits.
This guide is meant to provide an introduction and practical guidance to organisations on how to appropriately perform basic anonymisation.
This article looks at pseudonymisation under GDPR and cases when pseudonomysed data can be treated as anonymous data.
This document lists ten of these misunderstandings, explains the facts and provides references regarding anonymisation of personal data.
In August 2016, Data Protection Commissioner (?DPC?) of Ireland published guidance on the use of data anonymisation and pseudonymisation.?Guidance provides recommendations on effective use of anonymisation and pseudonymisation techniques. Anonymisation and pseudonymisation techniques help organisations to better comply with security requirements of data protection law. General Data Protection Regulation (GDPR) encourages organisations to use pseudonymisation […]
This report explores further the basic notions of pseudonymisation, as well as technical solutions that can support implementation in practice.
Ireland DPA's guidance on Anonymisation and Pseudonymisation.