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 […]
A newpaper argues that many promises around privacy-preserving mechanisms will never be fulfilled and we need to accept these inherent limits.
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 […]