https://github.com/openmined/sgx-experiments
Trusted execution experiments with Intel SGX
https://github.com/openmined/sgx-experiments
confidential-computing confidentiality experiments graphene intel intel-sgx python pytorch secure secure-computation security sgx tee trusted-execution-environment
Last synced: about 2 months ago
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Trusted execution experiments with Intel SGX
- Host: GitHub
- URL: https://github.com/openmined/sgx-experiments
- Owner: OpenMined
- License: apache-2.0
- Created: 2020-04-13T03:03:53.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-06-17T14:41:39.000Z (over 5 years ago)
- Last Synced: 2025-06-07T00:40:08.458Z (4 months ago)
- Topics: confidential-computing, confidentiality, experiments, graphene, intel, intel-sgx, python, pytorch, secure, secure-computation, security, sgx, tee, trusted-execution-environment
- Language: Makefile
- Size: 99.6 KB
- Stars: 11
- Watchers: 4
- Forks: 5
- Open Issues: 2
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# SGX Experiments
Trusted execution experiments with Intel SGX
## Getting Started
To run the experiments on this repository, make sure you have installed the Intel SGX SDK and driver.
Download and install them from the official Intel GitHub repositories:
- https://github.com/01org/linux-sgx
- https://github.com/01org/linux-sgx-driver
Alternatively, if you want to use the DCAP versions of the SDK and driver, download and install it from:
- https://github.com/intel/SGXDataCenterAttestationPrimitives
## Experiments
### Graphene SGX
Graphene is a lightweight guest OS, designed to run a single application with minimal host requirements. Graphene can run applications in an isolated environment with benefits comparable to running a complete OS in a virtual machine - including guest customization, ease of porting to different OSes, and process migration.
Graphene supports native, unmodified Linux applications on any platform. Currently, Graphene runs on Linux and Intel SGX enclaves on Linux platforms.
With Intel SGX support, Graphene can secure a critical application in a hardware-encrypted memory region. Graphene can protect applications from a malicious system stack with minimal porting effort.
#### Proofs of concept
- [PyTorch with SGX: Image Classification](./graphene/pytorch)
- [PySyft with SGX: Secure Aggregation](./graphene/pysyft)
#### Useful Links
- Paper: http://www.cs.unc.edu/~porter/pubs/tsai14graphene.pdf
- Website: https://grapheneproject.io/
## Support
For support in using this library, please join the **#lib_sgx-experiments** Slack channel. If you’d like to follow along with any code changes to the library, please join the **#code_sgx-experiments** Slack channel. [Click here to join our Slack community!](https://slack.openmined.org)