privacy-preserving data publishing

Privacy-preserving data publishing involves sharing data in a way that protects individuals' personal information. Techniques are used to modify or anonymize data so that individual identities cannot be easily identified or linked back to specific people, while still allowing useful analysis. This balance helps organizations share insights for research, policy, or business decisions without compromising privacy. Examples include removing names, aggregating data, or adding controlled noise. Overall, it ensures data utility is maintained while personal privacy is safeguarded.