GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)

Emily Jefferson (Lead / Corresponding author), Smarti Reel (Lead / Corresponding author), Alba Crespi Boixader, Maeve Roche, Esma Mansouri-Benssassi, Jillian Beggs, Antony Chuter, Christian Cole, Felix Ritchie, Angela Daly, Jim Smith, James Liley, Kerasidou Kerasidou, Francesco Tava, Andrew McCarthy, Richard Preen, Alberto Blanco-Justicia, Esma Mansouri-Benssassi, Josep Domingo-Ferrer, Simon RogersJim Smith

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GRAIMATTER Public Summary: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)
Jefferson, E. (Member), Ritchie, F. (Member), Beggs, J. (Member), Chuter, A. (Member), Reel, S. (Member), Crespi Boixader, A. (Member), Tava, F. (Member), Mansouri-Benssassi, E. (Member), Malone, M. (Member), Cole, C. (Member), Daly, A. (Member), Rogers, S. (Member) & Smith, J. (Member)
21 Sept 2022
Activity: Other activity types › Public engagement and outreach - media article or participation

GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)

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GRAIMATTER Public Summary: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)