TAPAS: a toolbox for adversarial privacy auditing of synthetic data
Personal data collected at scale promises to improve decision-making and accelerate innovation. However, sharing and using such data raises serious privacy concerns. A promising solution is to produce synthetic data, artificial records to share instead of real data. Since synthetic records are not l...
| Main Authors: | , , , , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
OpenReview
2022
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