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Medical MVP: Private inference #42

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bcebere opened this issue Jul 21, 2020 · 0 comments

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bcebere commented Jul 21, 2020

One nice addition could be running the models over encrypted data.

The limits here are:

We might need multiple roundtrips to overcome the growing noise in data.
We might need to test polynomial approximations for our architecture.

Azure has support for services like this, might worth having a look https://docs.microsoft.com/en-us/azure/machine-learning/how-to-homomorphic-encryption-seal

Other option is to use TenSEAL over the submitted photos.

The purpose is to provide full privacy to the uploaded info.

One downside might be generating saliency maps

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