Intro to Business Analytics
Differential privacy is a mathematical framework designed to provide a formal way to maximize the accuracy of queries from statistical databases while minimizing the chances of identifying its entries. It aims to protect individual privacy by ensuring that the output of a function does not significantly change when any single individual's data is added or removed, effectively masking their presence in the dataset. This approach is increasingly important in the realm of data privacy regulations and compliance, as it allows organizations to analyze data while adhering to strict privacy standards.
congrats on reading the definition of Differential Privacy. now let's actually learn it.