I was under the impression that, for any FHE scheme with "good" security, (a) there was a finite and not very large limit to the number of operations you could do on encrypted data before the result became undecryptable, and (b) each operation on the encrypted side was a lot more expensive than the corresponding operation on plaintext numbers or whatever.
Am I wrong? I freely admit I don't know how it's supposed to work inside, because I've never taken the time to learn, because I believed those limitations made it unusable for most purposes.
Yet the abstract suggests that FHE is useful for running machine learning models, and I assume that means models of significant size.
What is the computational burden of FHE over doing the same operation in plaintext? I realize that many cloud proponants think that FHE may allow them to work with data without security worries (if it is all encrypted, and we dont have the keys, it aint our problem) but if FHE requires a 100x or 1000x increase in processor capacity then i am not sure it will be practical at scale.
Is the title broken?
I see “Unified Line and Paragraph Detection by Graph Convolutional Networks (2022)”
I was under the impression that, for any FHE scheme with "good" security, (a) there was a finite and not very large limit to the number of operations you could do on encrypted data before the result became undecryptable, and (b) each operation on the encrypted side was a lot more expensive than the corresponding operation on plaintext numbers or whatever.
Am I wrong? I freely admit I don't know how it's supposed to work inside, because I've never taken the time to learn, because I believed those limitations made it unusable for most purposes.
Yet the abstract suggests that FHE is useful for running machine learning models, and I assume that means models of significant size.
Funny thing is
Since neural networks are differentiable, they can be homomorphically encrypted!
That’s right, your LLM can be made to secretly produce stuff hehe
What is the computational burden of FHE over doing the same operation in plaintext? I realize that many cloud proponants think that FHE may allow them to work with data without security worries (if it is all encrypted, and we dont have the keys, it aint our problem) but if FHE requires a 100x or 1000x increase in processor capacity then i am not sure it will be practical at scale.
Direct link to the book:
https://fhetextbook.github.io/