Medical MVP: Private inference #42
Description
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