The AI Privacy toolkit provides a method to reduce the amount of personal data needed for machine learning model predictions by removing or generalizing input features without significantly impacting accuracy. This helps adhere to data minimization regulations like GDPR and reduces security risks associated with large datasets. The toolkit can determine the minimal set of features and their required detail level for a given trained model. It has been applied to classification models and research.
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