- Privacy Test - Determines whether a report adheres to the conditions of differential privacy. - Accuracy Test - Measures whether the reliability of reports falls within the upper and lower bounds given a 95% confidence level. - Utility Test - Determines whether the confidence bounds of a report are close enough to the data while still maximizing privacy. - Bias Test - Measures the distribution of reports for repeated queries to ensure they aren't unbalanced https://www.virtualidentity.be/what-is-differential-privacy-in-machine-learning-preview/