This explainer document aims to provide an overview of the current state of the rapidly expanding work on synthetic data technologies, with a particular focus on privacy. The article is intended for a non-technical audience, though some formal definitions have been given to provide clarity to specialists. This article is intended to enable the reader to quickly become familiar with the notion of synthetic data, as well as understand some of the subtle intricacies that come with it. We do believe that synthetic data is a very useful tool, and our hope is that this report highlights that, while drawing attention to nuances that can easily be overlooked in its deployment.Comment: Commissioned by the Royal Society. 57 pages 2 figure
These talks were presented for the Privacy Day Webinar 2022 sponsored by the American Statistical As...
Generative AI technologies are gaining unprecedented popularity, causing a mix of excitement and app...
Synthetic data is emerging as the most promising solution to share individual-level data while safeg...
Synthetic data generation is a powerful tool for privacy protection when considering public release ...
This is the final version. Available on open access from SAGE Publications via the DOI in this recor...
Archive for the synthetic data pre-conference workshop at the Open Science Festival on September 1, ...
Synthetic data has gained significant momentum thanks to sophisticated machine learning tools that e...
This paper investigates the role that synthetic data could potentially play in generating a converge...
This paper investigates the role that synthetic data could potentially play in generating a converge...
Data Study Groups are week-long events at The Alan Turing Institute bringing together some of the co...
AI-based data synthesis has seen rapid progress over the last several years and is increasingly reco...
Synthetic data has been advertised as a silver-bullet solution to privacy-preserving data publishing...
With the recent advances and increasing activities in data mining and analysis, the protection of th...
Data synthesis is a privacy enhancing technology aiming to produce realistic and timely data when re...
Generative AI technologies are gaining unprecedented popularity, causing a mix of excitement and app...
These talks were presented for the Privacy Day Webinar 2022 sponsored by the American Statistical As...
Generative AI technologies are gaining unprecedented popularity, causing a mix of excitement and app...
Synthetic data is emerging as the most promising solution to share individual-level data while safeg...
Synthetic data generation is a powerful tool for privacy protection when considering public release ...
This is the final version. Available on open access from SAGE Publications via the DOI in this recor...
Archive for the synthetic data pre-conference workshop at the Open Science Festival on September 1, ...
Synthetic data has gained significant momentum thanks to sophisticated machine learning tools that e...
This paper investigates the role that synthetic data could potentially play in generating a converge...
This paper investigates the role that synthetic data could potentially play in generating a converge...
Data Study Groups are week-long events at The Alan Turing Institute bringing together some of the co...
AI-based data synthesis has seen rapid progress over the last several years and is increasingly reco...
Synthetic data has been advertised as a silver-bullet solution to privacy-preserving data publishing...
With the recent advances and increasing activities in data mining and analysis, the protection of th...
Data synthesis is a privacy enhancing technology aiming to produce realistic and timely data when re...
Generative AI technologies are gaining unprecedented popularity, causing a mix of excitement and app...
These talks were presented for the Privacy Day Webinar 2022 sponsored by the American Statistical As...
Generative AI technologies are gaining unprecedented popularity, causing a mix of excitement and app...
Synthetic data is emerging as the most promising solution to share individual-level data while safeg...