Guidance

Synthetic Data

Review techniques to create synthetic datasets that mimic the characteristics of a real dataset but remove or obscure any private or sensitive information

From:
Defence Science and Technology Laboratory
Published
12 August 2020

Documents

Synthetic Data

Ref: ASC, 0259 D3 V1.1

PDF, 4.49 MB, 115 pages

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Details

BAE Systems AI Labs was commissioned by the Defence Science and Technology Laboratory (Dstl) to review the state of the art techniques in generating privacy-preserving synthetic data. Driven primarily by the need for sharing sensitive data for research and development purposes, synthetically generated data should preserve the characteristics of real data while protecting the personal or sensitive information present in the original data.

Published 12 August 2020