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A General Framework for Per-record Differential Privacy

Summary: General method to convert DP mechanisms to PrDP whose error depends on the dataset's minimum per-record budget, not the global minimum. Introduces privacy-specified domain partitioning and query augmentation (local DP) to privately estimate that minimum; produces first PrDP count/sum/max algorithms with much better utility than PDP. (summarized by gpt-5-mini on Feb 11 2026)

Paper ID
7348
Venue
SIGMOD
Year
2026
Pagerank
4.1945683e-05
Overall Rank
10,041 | 30.15%
DOI
10.1145/3769752

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