Differential Privacy: According to the first edition of the EU-U.S. terminology and taxonomy for artificial intelligence, the word “Differential Privacy” means a method for measuring how much information the output of a computation reveals about an individual. It produces data analysis outcomes that are nearly equally likely, whether any individual is, or is not, included in the dataset. Its goal is to obscure the presence or absence of any individual (in a database), or small groups of individuals, while at the same time preserving statistical utility.
