BlindAI: Secure Remote ML Inference with Intel SGX Enclaves

BlindAI: Secure Remote ML Inference with Intel SGX Enclaves

Confidential Computing Consortium via YouTube Direct link

Intro

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1 of 20

Intro

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BlindAI: Secure Remote ML Inference with Intel SGX Enclaves

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  1. 1 Intro
  2. 2 Security and ML inference
  3. 3 On-device Machine Learning
  4. 4 Homomorphic encryption
  5. 5 Confidential Computing
  6. 6 Trusted computing base
  7. 7 Shrink the TCB
  8. 8 Overview
  9. 9 Enclave manifest
  10. 10 Threat: Memory vulnerability
  11. 11 Defense: SGX enclave in Rust
  12. 12 Threat: lago attacks, Confused dep
  13. 13 Threat: Software side channels
  14. 14 Defense : Constant-time programming
  15. 15 Side channel mitigation for the application code Hard to enforce in all code: ⚫ Compiler are allowed to add "side channel" when optimizing
  16. 16 Threat: n-day attacks
  17. 17 Defense: Plan for the worst
  18. 18 Transparency: reproducibility
  19. 19 Transparency: optimize for auditability
  20. 20 How do we protect ourselves?

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