Day 10: DIfferential privacy - Evaluating the differential privacy

Today I revisited Lesson 3 since I am curious about anonymousity. Why it is not enough. The lesson clearly give example why it is not enough. Although, we already take care the privacy our dataset. Other people may accidentally release the sensitive information which will lead to exposure of the information of our anonymized dataset.

Next, I tried the workbook of private-ai. Lesson: Towards Evaluating The Differential Privacy of a Function. Sensitivity value is max value of the difference between each parallel db query result with the query result for the entire database.

I am still not quite understand with the sensitivity and sensitivity with threshold. I would like to ask on the slack.