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Is there a way to combine the Fuzzy extractor (or SS+ Ext) with state-of-art deep learning model?

gf flag

I recently reviewed biometric authentication with deep learning model, and I found, in cryptography, the fuzzy extractor,FE (or secure sketch,SS, plus strong extractor) have solve this problem good enough based on error-correcting codes, is there any research from this point to combine them? For deep learning model, it is natural to give a good representing for the input biometric object(e.g. face image, iris image, fingerprints object), which could be used to generate private key (r) directly. Does it mean the decoding part (error-correcting) in FE could be replaced by deep learning model?
Or is there a way to train a deep learning model from point of LWE

fgrieu avatar
ng flag
Attempting to understand and contextualize the question led me to asking a [simpler one](https://crypto.stackexchange.com/q/93615/555).
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