Anonymity test

The Anonymeter is a sophisticated statistical system designed to evaluate privacy risks in synthetic tabular datasets. It includes evaluators that assess the probability of identifying individuals, linking data, and making inferences. These evaluations are crucial for identifying potential risks to data donors after publishing a synthetic dataset.

To perform an Anonymity test on your data:

1. Navigate to the ‘Synthetic Model’ tab.
2. Scroll down to the ‘Anonymity Test’ section.
3. In the 'Aux Columns' dropdown, select the auxiliary columns you want to compare.
4. From the 'Tags' dropdown, choose tags that were not used during training.
5. Click 'Generate Anonymity Score' to perform the test and view the results.

Upon successful execution, the screen displays the metric values associated with Privacy Evaluation. AryaXAI measures this on four metrics:

• Univariate: Looks at individual variables in isolation
• Multivariate: Considers the combined effect or correlation among various attributes
• Linkability: Focuses on assessing the risk of connecting or linking sensitive information across different datasets or sources
• Inference: Involves deducing or predicting sensitive details by analyzing patterns, correlations, or statistical relationships present within the data