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Practical Differential Privacy via Grouping and Smoothing

Summary: GS pre-processes one-time, non-overlapping counts by grouping and smoothing (averaging) to lower sensitivity before epsilon-DP noise. A sampling-guided grouping mechanism minimizes smoothing perturbation, enabling low-noise DP and real-data superiority over competitors, with extensive experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10696
Venue
VLDB
Year
2013
Pagerank
5.5972313e-05
Overall Rank
5,267 | 63.36%
DOI
-

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