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Private Information Retrieval and Oblivious RAM

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Survey condenses two concrete systems and their numbers: a tree/Circuit-ORAM implementation (used by Signal via a TEE but optimized to 20–50 microseconds per lookup, 200K qps on one machine, 6 servers reported vs a naïve linear-scan 500-server baseline) and a client-preprocessing PIR called Piano that uses only PRFs and achieves roughly sqrt(n) client space / compute / bandwidth, with 12 ms server compute and ~72–100 ms end-to-end in 16 ms ping networks (compute ~1000x faster than classical PIR).

AI-written summary · about

  1. 0:00Introduction
  2. 0:21ORAM and PIR applications
  3. 7:22Security definitions
  4. 10:31Industry adoption limits
  5. 15:31ORAM and PIR implementations
  6. 20:28Linear scan impractical
  7. 23:06ORAM construction evolution
  8. 28:03Path ORAM explained
  9. 35:35ORAM deployment considerations
  10. 39:49Generic ORAM unnecessary
  11. 41:28PIR construction evolution
  12. 45:20Piano PIR preprocessing
  13. 56:35Piano query limits
  14. 59:42Piano performance
  15. 1:00:10RAM-model MPC overview
  16. 1:06:20Future directions
  17. 1:10:16Open questions and Q&A
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