"The 10 different classes represent airplanes, cars, birds, cats, deer, dogs, frogs, horses, ships, and trucks."
I.E., gaining any sort of insight a transaction of protected information is what the protections were in place for.
So is FHE more about skirting regulations and privacy laws? Or, is it a new frontier of an untapped data source that has some red tape around it?
To me, something was simply not encrypted properly if you are able to draw conclusions/learn insights/detect anything about the data. It's in conflict with the idea of what secure encryption means to me.
The server providing the FHE-based service does not gain any sort of insight. This is a key point: only the client can see the output of the computation.
Where can I find out more about how this could be possible?
> Image classification without the server seeing the image.
The value is in being able to get the prediction from the model without ever giving unencrypted data to somebody you don’t trust.
You could have an LLM generate code for you without ever giving the operator your proprietary source code.