Differential privacy, a mathematical definition of privacy in the context of statistical and machine learning analysis, is said to enable businesses, policymakers and researchers to analyse and share (sensitive) data, while providing strong guarantees of privacy to the individuals. This technology has been in the headlines due its multiple implementations deployed by corporations (Google, Apple, Uber, start-ups) as well as government agencies and research institutions.(1)

How does differential privacy work?

We discussed this on 15 March 2021, during the first event of the Tech Talk series organised by the Brussels Privacy Hub, in media partnership with Privacy Laws and Business.