Privacy Enhancing Technologies (PETs) such as multiparty computation and differential privacy are designed to protect sensitive data while still allowing it to be useful for analysis and other purposes. Multiparty computation enables parties to jointly compute a function over their inputs while keeping those inputs private.
Differential privacy provides a way to maximize the accuracy of queries from statistical databases while minimizing the chances of identifying its entries. This dual focus on protecting data privacy while maintaining data utility is the primary goal of these technologies.References: IAPP Certification Textbooks, Chapter on PETs, and their Applications in Privacy Management.