SQL-based Differential Privacy

SQL-based Differential Privacy is a method that allows us to query databases using SQL while protecting individual privacy. It adds carefully calibrated noise to the query results so that the data of any single person cannot be identified or inferred. This approach integrates privacy measures directly into the SQL querying process, enabling analysts to extract useful insights without compromising individual data confidentiality. Essentially, it balances data utility with privacy by modifying the outputs of SQL queries to prevent re-identification risks, ensuring long-term privacy protections while still enabling meaningful data analysis.