The Analytics Unit is continuing to develop and improve SynthVAE, with a focus on improving the model’s ability to produce high quality synthetic data.
To better understand the privacy of any patient data used to train a synthetic data generating model, the Analytics Unit has undertaken a project exploring the use of ‘adversarial attacks’ to prove what information about the original training data might be gained from a model alone. The project focussed on a particular type of adversarial attack, called a ‘membership attack. It explored how different levels of information would influence what the attacker could learn about the underlying dataset, and therefore the implications to any individuals whose information was used to train a model.
Who was involved
This project was a collaboration between the NHS AI Lab Skunkworks and the Analytics Unit within the Transformation Directorate at NHS England and Improvement.
The NHS AI Lab Skunkworks is a team of data scientists, engineers and project leaders who support the health and social care community to rapidly progress ideas from the conceptual stage to a proof of concept.
The Analytics Unit consists of a team of analysts, economists, data scientists and data engineers who provide leadership to other analysts who are working in the system and raise data analysis up the health and care system agenda.
Last edited: 24 April 2025 4:18 pm