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Randomness Extraction from Somewhat Dependent Sources

Talkat ITCS 2022 · 2022-01-31..02-03· [cryptography]
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Defines three dependence models and gives sharp positive and negative results: T-coordinated sources admit deterministic extraction — any two‑source extractor for independent sources with min‑entropy K yields a 2ε extractor for T‑coordinated sources with min‑entropy K+T+log(1/ε), and this K+T+log loss is optimal. The other models (bounded cross‑influence and bounded mutual information) resist extraction but admit condensation: cross‑influence condensers incur a 2^T error blowup and +T deficiency, and those parameters are essentially tight. Also shows sampling inner‑product needs ≥0.49N bits.

AI-written summary · about

  1. 0:00Introduction
  2. 2:05Natural sources of randomness
  3. 3:23Seeded extractors
  4. 5:50Background
  5. 7:05Models
  6. 9:35TCoordinated Sources
  7. 12:13TCross Influence
  8. 15:37Mutual Information
  9. 16:54Relation Between Models
  10. 18:54Extractors and Condensers
  11. 20:39Condensers
  12. 23:13Theorem
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