How To Quantify Privacy in Datasets

An Entropy-Based Approach for Objective Evaluation and Automated Approval

We will discuss tools for estimating and automating the enforcement of privacy in datasets.

• Objective Data Privacy Evaluation: Discuss a straightforward approach using objective measures to gauge and improve data privacy in shared datasets.
• Estimating Data Privacy Levels: Learn through real-world examples how estimating data privacy levels can be a powerful tool, minimizing bias and enhancing informed decision-making
• Automated Checks for Enhanced Workflow: Explore the application of automated checks in the approval workflow to simplify processes and boost productivity in safeguarding sensitive information

Head over to ObservableHQ to see an interactive version of this.

Measuring Privacy Exposure

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In a previous article, I delved into the intricate task of preserving privacy, underscoring the…