~/talk

Differentially Private Algorithms for 2020 Decennial Census Detailed DHC Race & Ethnicity

Talkat PEPR '22 · 2022-06-23..06-24· [privacy-and-compliance, machine-learning]
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Proposal produces DDHC race and ethnicity counts by adaptively choosing which breakdowns to release based on noisy group size, trading off accuracy and confidentiality with per-level privacy budget tuning. Implementation uses integer counts with a discrete Gaussian mechanism and ZCDP accounting, yielding lower composed privacy loss (example comparison roughly 15.3 under pure DP vs 12.2 under approximate/ZCDP). Prototype generation uses 2010 census data in January 2023 and targets product release August 2023.

AI-written summary · about

  1. 0:00Start
  2. 3:57Detailed Demographic and Housing Characteristics File A (Detailed DHC-A)
  3. 5:18Disclaimer
  4. 5:39Takeaways
  5. 8:13Additional criteria
  6. 8:39Simple Algorithm
  7. 9:22Optimization 3
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