Implementing differential privacy techniques enables organizations to share aggregated data while safeguarding individual privacy. In the European Union, the application of differential privacy is gaining attention, particularly in the context of official population statistics and censuses. For instance, research has explored various approaches to statistical disclosure control based on random noise, aiming to protect individual data in compliance with the EU’s stringent data protection standards. By incorporating differential privacy, entities can analyze and share valuable insights without compromising individual data, aligning with the EU’s commitment to data protection and privacy. In addition, GDPR emphasizes the importance of protecting personal data, encouraging the adoption of methods like differential privacy to ensure compliance.
