👉 Disclosure math is a mathematical framework that formalizes the process of revealing information about a system or object, particularly in contexts involving security, privacy, and transparency. It involves defining how much information can be known about a system's internal state or parameters by observing its outputs or interactions with the environment. This framework is crucial in areas like differential privacy, where it quantifies the trade-off between data utility and privacy by measuring how much noise can be added to data to obscure individual contributions while preserving overall trends. By providing precise mathematical tools, disclosure math helps ensure that systems can be designed to be both useful and privacy-preserving, balancing the need for information with the imperative to protect sensitive data.
