Evaluating Identity Disclosure Risk in Fully Synthetic Health Data: Model Development and Validation
BackgroundThere has been growing interest in data synthesis for enabling the sharing of data for secondary analysis; however, there is a need for a comprehensive privacy risk model for fully synthetic data: If the generative models have been overfit, then it is possible to identify individuals from...
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| Main Authors: | , , |
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| Format: | Book |
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JMIR Publications,
2020-11-01T00:00:00Z.
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