Google Turns to Retro Cryptography to Keep Datasets Private

guest · Jun 19, 2019

Google Turns to Retro Cryptography to Keep Datasets Private
June 19, 2019
https://www.wired.com/story/google-private-join-compute-database-encryption/

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.

Today Google will release an open source cryptographic tool known as Private Join and Compute. It facilitates the process of joining numeric columns from different datasets to calculate a sum, count, or average on data that is encrypted and unreadable during its entire mathematical journey.

Private Join and Compute uses a 1970s methodology known as "commutative encryption" to allow data in the datasets to be encrypted with multiple keys, without it mattering which order the keys are used in. This is helpful for multi-party computation, where you need to apply and later peel away multiple layers of encryption without affecting the computations performed on the encrypted data.
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