2
$\begingroup$

We are trying to give a model to collaborators but would like to protect the IP. What are some ways to encrypt/hide/compile the definition when sharing a trained model?

$\endgroup$

1 Answer 1

1
$\begingroup$

One way to protect the IP of a trained model is to put the model behind an API. Give only limited API end-point access.

$\endgroup$
1
  • $\begingroup$ Yes, something like docker. I did think of that one. Is there no way to "compile" a model to something like a binary? $\endgroup$
    – Zwerchhau
    Feb 8, 2023 at 22:18

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.