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Homomorphic encryption: Deriving analytics and insights from encrypted data

September 1, 2020

Via: CSO

What do you do when you need to perform computations on large data sets while preserving their confidentiality? In other words, you would like to gather analytics, for example, on user data, without revealing the contents to the computation engine that is going to calculate the analytics. Or you are a cloud services provider supporting encrypted storage of documents but want to enable your users to edit their documents without decrypting them first.

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