2. Differential Privacy Fundamentals4:
Differential privacy is a mathematical framework designed to provide a
quantifiable measure of privacy protection in data analysis. It focuses
on ensuring that the presence or absence of an individual’s data does
not significantly influence the outcome of any analysis. The fundamental
premise is to provide privacy guarantees even when an adversary
possesses auxiliary information or background knowledge.