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iReduct: Differential Privacy with Reduced Relative Errors

Summary: iReduct provides differential privacy with reduced relative errors by allocating noise adaptively across query results. A novel resampling-based correlated-noise technique improves utility for small vs large answers, demonstrated on marginals of multi-dimensional histograms with real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4385
Venue
SIGMOD
Year
2011
Pagerank
8.1326122e-05
Overall Rank
2,776 | 80.69%
DOI
-

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