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Machine Learning Privacy with Fully Homomorphic Encryption

6 pointsby zacchjover 2 years ago

1 comment

eternalbanover 2 years ago
The paper for the FFHE: <a href="https:&#x2F;&#x2F;eprint.iacr.org&#x2F;2016&#x2F;870.pdf" rel="nofollow">https:&#x2F;&#x2F;eprint.iacr.org&#x2F;2016&#x2F;870.pdf</a><p>tldr here is that Zama believes privacy for the model owner (not the user) can be satisfied by having a trusted 3rd party host the (unencrypted) model and simply apply FHE to user data (which is faster). And that&#x27;s the their solution.