apache / apache/teaclave-sgx-sdk
Possibility to implement tensorflow/keras in sgx
- Dominant language
- Rust
- Stars
- 1.2k
- Forks
- 268
- PR merge metrics
- No merged PRs in 30d
Description
Hi, i want to deploy one deep learning algorithm which uses tensorflow/keras a lot inside SGX.
I tried fortanixEDP before with tensorflow C binding API like https://github.com/tensorflow/rust, but it seems really hard to use because tensorflow is based on C and there is no libc in fortanix target.
Is that possible to use such C binding API by sgx-sdk for example tensorflow? I mean actually i don't quite understand why the tensorflow works in raw rust but not in SGX.
Hope to hear from you.
Contributor guide
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Research direction
The issue names no SDK file, entry point, or test to begin with. Start by determining how the SGX SDK handles C bindings and libc, then compare that with the TensorFlow/Keras and tensorflow/rust requirements; done would be a documented feasibility result or a clearly scoped implementation plan.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- c, keras, rust, tensorflow
- Domain
- ai, security
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100