Sharing privacy-protected data from huge datasets just got much faster

New algorithms make it much faster and more accurate to create privacy-preserving statistical summaries from large datasets. This means governments and companies can share more useful information from sensitive data without revealing individual details.

Governments and companies often struggle to release useful data while protecting individual privacy, especially with very large datasets. This paper offers new algorithms that make it much faster and more accurate to create privacy-preserving statistical summaries. This means the promise of sharing more detailed aggregate data, like census results or health trends, becomes much more practical for real-world use.