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)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,226 | Publishing Graph Degree Distribution with Node Differential Privacy | 2016 | SIGMOD | 9.2421776e-05 |
| 6,077 | The Fast and the Private: Task-based Dataset Search | 2024 | CIDR | 5.2229324e-05 |
| 7,624 | A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy | 2023 | SIGMOD | 4.6931334e-05 |
| 7,997 | Optimizing Fitness-For-Use of Differentially Private Linear Queries | 2021 | VLDB | 4.6105691e-05 |
| 8,120 | Doquet: Differentially Oblivious Range and Join Queries with Private Data Structures | 2023 | VLDB | 4.5809563e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 178 | Boosting the Accuracy of Differentially Private Histograms Through Consistency | 2010 | VLDB | 0.00037697111 |
| 225 | Generalizing Data to Provide Anonymity when Disclosing Information | 1998 | PODS | 0.00032707646 |
| 715 | Differentially Private Aggregation of Distributed Time-Series with Transformation and Encryption | 2010 | SIGMOD | 0.00017725693 |
| 742 | Optimizing Linear Counting Queries Under Differential Privacy | 2010 | PODS | 0.00017360873 |
| 2,052 | Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy | 2012 | VLDB | 9.676612e-05 |
| 2,682 | Personalized Privacy Preservation | 2006 | SIGMOD | 8.3202837e-05 |
| 2,776 | iReduct: Differential Privacy with Reduced Relative Errors | 2011 | SIGMOD | 8.1326122e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 878 | Differentially Private Data Cubes: Optimizing Noise Sources and Consistency | 2011 | SIGMOD | 0.00015702437 |
| 6,235 | Global and Local Differentially Private Release of Count-Weighted Graphs | 2023 | SIGMOD | 5.1451658e-05 |
| 3,097 | Publishing Set-Valued Data via Differential Privacy | 2011 | VLDB | 7.5647028e-05 |
| 10,162 | Enhancing Local Differential Privacy Accuracy by Exploiting Inherent Uncertainty | 2026 | SIGMOD | 4.1945683e-05 |
| 2,408 | Estimating Numerical Distributions under Local Differential Privacy | 2020 | SIGMOD | 8.8780076e-05 |
| 1,935 | A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy | 2014 | VLDB | 0.00010032967 |
| 10,041 | A General Framework for Per-record Differential Privacy | 2026 | SIGMOD | 4.1945683e-05 |
| 2,082 | Differentially Private Event Sequences over Infinite Streams | 2014 | VLDB | 9.5834599e-05 |
| 10,992 | Personalized Truncation for Personalized Privacy | 2024 | SIGMOD | 4.1945683e-05 |
| 3,760 | Output Perturbation with Query Relaxation | 2008 | VLDB | 6.7805033e-05 |