What does Differential Privacy guarantee when applied to advertising data?

Differential Privacy, when applied to advertising data, guarantees that the addition or removal of any single individual's data from the dataset will not significantly alter the results of any analysis or query performed on that data. This means that an attacker cannot use the output of the analysis to infer whether a specific individual's data was included in the dataset or not. For example, if you're analyzing the average age of users who clicked on an ad, differential privacy ensures that adding or removing one person's age from the calculation won't substantially change the reported average, thus protecting their privacy. This is achieved by adding a small amount of random noise to the data or the query results.