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US bans differential privacy in Census data

5 hours ago
  • #policy impact
  • #data privacy
  • #statistical methods
  • The U.S. Department of Commerce banned 'noise infusion' from Census Bureau and Bureau of Economic Analysis statistical products.
  • Statistical agencies use techniques like suppression, coarsening, swapping, and noise addition to protect data privacy, with differential privacy considered the gold standard.
  • The 2020 Census adopted differential privacy to balance utility and privacy after swapping was found unsafe, but this reduced accuracy and angered some users.
  • The new order targets differential privacy and prefers coarsening and suppression, which may severely harm data utility or privacy, making releases useless or unsafe.
  • Removing noise-based techniques simplifies privacy attacks, as accurate statistics are easier to reverse-engineer, threatening confidentiality.
  • Possible motives for the ban include enabling gerrymandering, suppressing demographic data, or ignoring the inherent privacy-utility trade-off in statistical releases.