Certain studies require sensitive datasets: the relationship between nutritious school lunch and student health, the effectiveness of salary equity initiatives, and so on. Valuable insights require navigating a minefield of private, personal information. Now, after years of work, cryptographers and data scientists at Google have come up with a technique to enable this "multi-party computation" without exposing information to anyone who didn't already have it.

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