~/talk

Teaclave: Making Computation on Privacy-Sensitive Data Safe and Simple

Talkat ApacheCon@Home 2021 · 2021-09-21..09-23· [security, machine-learning]
slides:none on file

Teaclave is an Apache-incubating open source confidential computing platform that runs functions inside hardware TEEs such as Intel SGX and cloud VMs (Azure, Google AMD SEV, IBM), exposing a FaaS-style API with attestation, RPC, LevelDB storage and a scheduler. It ships Rust-based executors plus Python and WASM runtimes, runs ML functions (XGBoost, decision trees, logistic regression) and multiparty jobs, and notes a persistent risk: Python GC and heap lifetime can leave sensitive data resident even though enclave memory is encrypted.

AI-written summary · about

  1. 0:00Introduction
  2. 1:25Problem Statement
  3. 3:06Directions
  4. 4:55Memory Encryption
  5. 7:17Secure Computing
  6. 7:40SDKs
  7. 8:42Developers
  8. 12:38Features
  9. 15:15How to use
  10. 16:35Overview of services
  11. 17:59Services
  12. 19:01Services Overview
  13. 20:15Executors
  14. 21:22Functions
  15. 22:11Executor
  16. 24:14Ecosystem
  17. 25:03Project Overview
  18. 25:16Power Buy Page
  19. 25:50Safe Contact Tracing
  20. 26:50Questions
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