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.