Highlights

• Security: Teaclave adopts multiple security technologies to enable secure computing, in particular, Teaclave uses Intel SGX to serve the most security-sensitive tasks with hardware-based isolation, memory encryption and attestation. Also, Teaclave is written in Rust to prevent memory-safety issues.
• Functionality: Teaclave is provided as a function-as-a-service platform. With many built-in functions, it supports tasks like machine learning, private set intersection, crypto computation, etc. In addition, developers can also deploy and execute Python scripts in Teaclave. More importantly, unlike traditional FaaS, Teaclave supports both general secure computing tasks and flexible single- and multi-party secure computation.
• Usability: Teaclave builds its components in containers, therefore, it supports deployment both locally and within cloud infrastructures. Teaclave also provides convenient endpoint APIs, client SDKs and command line tools.
• Modularity: Components in Teaclave are designed in modular, and some like remote attestation can be easily embedded in other projects. In addition, Teaclave SGX SDK can also be used separately to write standalone SGX enclaves for other purposes.