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The project started in July 2020 attracted more than 30 experts around the world and ran until December 2022. The main aim was to encourage participating institutions to familiarize themselves with privacy-preserving techniques and explore their relevance for the production of future official statistics by investigating statistical use cases requiring input side protection, evaluating and determining the applicability of selected classes of techniques for selected scenarios, identifying opportunities for sharing knowledge within the statistical community and creating a community of practice between statistical organizations and external partners (academia, private sector). Project outcomes are presented in the final project report that is organized around these main themes:
- Private set intersection
- Private Machine Learning (Privacy-Preserving Federated Machine Learning
As part of this work, upon initial idea by Eurostat, the project team formulated the concept of a shared infrastructure based on Multi-Party Secure Private Computing technologies serving the needs of official statistics. An Open technical consultation on Towards a trustworthy Multi-Party Secure Private Computing-as-a-service infrastructure for official statistics was held (late 2022/early 2023). More information on the motivation and background of the consultation can be found here. Results are included in the final report of the project.
Mauro Bruno (Istat, Italy), Nita Boushey (Statistics Canada), Massimo De Cubellis (Istat, Italy), Abel Dasylva (Statistics Canada), Joeri van Etten (Statistics Netherlands), Fabrizio De Fausti (Istat, Italy), Loe Franssen (Statistics Netherlands), Matjaz Jug (Statistics Netherlands), Chris Maloney (Statistics Canada), Saeid Molladavoudi (Statistics Canada), Alexandre Noyvirt (Office for National Statistics, UK),Owen Daniel (Office for National Statistics, UK), Dennis Ramondt (Project Manager; Statistics Netherlands), Fabio Ricciato (Eurostat), Ralph Schreijen (Statistics Netherlands), Benjamin Santos (Statistics Canada), Monica Scannapieco (Istat, Italy), Julian Templeton (Statistics Canada), Mat Weldon (Office for National Statistics, UK), Zachary Zanussi (Statistics Canada). UNECE secretariat: Chris Jones and Wai Kit Si Tou.