Conveners
Machine Learning and Artificial Intelligence versus Disclosure Control - 1
- Josep Domingo-Ferrer (Universitat Rovira i Virgili)
Machine Learning and Artificial Intelligence versus Disclosure Control - 2
- Josep Domingo-Ferrer (Universitat Rovira i Virgili)
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Cédric Hansen (CASD)16/10/2025, 12:05
The Secure Data Access Center (CASD) platform provides controlled access to sensitive administrative data for research purposes, ensuring strict adherence to confidentiality regulations. Operating in an offline environment, CASD enhances data security by minimizing external vulnerabilities while allowing researchers to access and analyze this data in their secure and totally isolated...
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Jim Smith (University of the West of England Bristol)16/10/2025, 12:20
The practice of Output Statistical Disclosure Control has developed largely by consensus, a situation which is being challenged by a number of factors. First of these is the almost
Go to contribution pageCambrian Explosionin the number and scope of Trusted Research Environments as many domains move away from the ‘download’ model of enabling research. A second challenge is the accompanying proliferation of... -
Ms Madelon Hulsebos (Centrum Wiskunde & Informatica (CWI))16/10/2025, 12:35
The [Humanitarian Data Exchange][1] (HDX) is an open platform managed by the Centre for Humanitarian Data designed to facilitate the sharing of humanitarian data among organizations and improve decision-making and response efforts in humanitarian crises. As part of its role in managing HDX, the Centre recognizes the various types of sensitive data being collected and used by partners to...
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iain dove (Office for National Statistics)16/10/2025, 14:35
Trusted research environments have historically used rounding and thresholding as the recommended disclosure control method for exports of population data. However, within ONS Trusted Research Environments, for some datasets, perturbation is allowed in combination with thresholding. Code has been made available so researchers can create perturbed outputs using a specific level of noise.
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This... -
Titouan Rigaud (CASD Secure Data Hub)16/10/2025, 14:50
In 2023, CASD introduced a system to detect exports that do not comply with statistical secrecy [1]. This approach, based on feature generation from groups of exported files and the training of a boosting model, showed promise but precision could improve. The system relied on historical data from past Statistical Disclosure Control (SDC) expert reviews, where decisions (Accepted/Refused)...
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