Explaining Differentially Private Query Results With DPXPlain
Summary: DPXPlain: first system to explain group-by aggregate query anomalies under Differential Privacy, letting users validity-check comparisons between two groups. Produces a DP-guaranteed interactive explanation table of approximate top-k predicate explanations with relative influences and confidence-interval ranks. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Tingyu Wang
- 2. Yuchao Tao
- 3. Amir Gilad
- 4. Ashwin Machanavajjhala
- 5. Sudeepa Roy
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 213 | Scorpion: Explaining Away Outliers in Aggregate Queries | 2013 | VLDB | 0.0003371037 |
| 943 | A Formal Approach to Finding Explanations for Database Queries | 2014 | SIGMOD | 0.00015140995 |
| 1,096 | Interpretable and Informative Explanations of Outcomes | 2015 | VLDB | 0.00014088686 |
| 1,740 | PrivateSQL: A Differentially Private SQL Query Engine | 2019 | VLDB | 0.00010696383 |
| 3,083 | Computing Local Sensitivities of Counting Queries with Joins | 2020 | SIGMOD | 7.5985351e-05 |
| 5,499 | R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys | 2022 | SIGMOD | 5.4737427e-05 |
| 9,768 | DPXPlain: Privately Explaining Aggregate Query Answers | 2023 | VLDB | 4.2815042e-05 |
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