Privacy-preserving computation technologies and Data Science
Fabio Ricciato, Statistical Officer, Eurostat Unit A5 on Methodology and Innovation in Official Statistics, European Commission
Privacy-preserving computation technologies promise to enable "processing without disclosing" of personal or otherwise confidential data. Such technologies become increasingly appealing in scenarios where multiple organisations are involved in the computation process and when input data are held by different entities.
However, while these technologies are maturing quickly and commercial products already exist, the rate of adoption in production environment is still slow, especially in the public sector. The round-table will gather representatives from producers/developers and potential users/adopters of privacy-preserving computation technologies, to discuss what are the challenges and obstacles towards a more widespread adoption of these technologies in data science and statistical applications.