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20212025
most citedGRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)

2 citations · 3 across the 2 of their papers we have counts for

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cs.LG2025

A hierarchical approach for assessing the vulnerability of tree-based classification models to membership inference attack

Richard J. Preen, Jim Smith

Machine learning models can inadvertently expose confidential properties of their training data, making them vulnerable to membership inference attacks (MIA). While numerous evalua…

cs.LG2022★ 2 cited

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

Emily Jefferson, James Liley, Maeve Malone +16

TREs are widely, and increasingly used to support statistical analysis of sensitive data across a range of sectors (e.g., health, police, tax and education) as they enable secure a…