DPXPlain: Privately Explaining Aggregate Query Answers
Summary: DPXPlain is the first DP framework for explaining group-by aggregate answers. It quantifies whether noisy comparisons are trustworthy, then privately returns approximately top-k explanation predicates with influence, rank, and confidence intervals. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuchao Tao (Duke University)
- 2. Amir Gilad (Duke University)
- 3. Ashwin Machanavajjhala (Duke University)
- 4. Sudeepa Roy (Duke University)
BibTeX Citation
@article{tao_vldb23,
title = {{DPXPlain: Privately Explaining Aggregate Query Answers}},
author = {Tao, Yuchao and Gilad, Amir and Machanavajjhala, Ashwin and Roy, Sudeepa},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {1},
pages = {113--126},
doi = {10.14778/3561261.3561271},
url = {https://doi.org/10.14778/3561261.3561271},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,438 | Summarized Causal Explanations For Aggregate Views | 2024 | SIGMOD | 5.7826256e-05 |
| 6,703 | Toward Interpretable and Actionable Data Analysis with Explanations and Causality | 2022 | VLDB | 5.7031717e-05 |
| 9,957 | Fair and Actionable Causal Prescription Ruleset | 2025 | SIGMOD | 5.1014161e-05 |
| 10,505 | Prism: Private Relational Data Synthesis with Language Models | 2026 | SIGMOD | 4.9769913e-05 |
| 10,534 | Differentially Private Explanations for Clusters | 2026 | SIGMOD | 4.9769913e-05 |
| 10,636 | Causal Explanations for Disparate Trends: Where and Why? | 2026 | SIGMOD | 4.9769913e-05 |
| 10,805 | Measuring Database Unfairness via Dependency Quantification Under Differential Privacy | 2026 | VLDB | 4.9769913e-05 |
| 11,369 | Finding Convincing Views to Endorse a Claim | 2025 | VLDB | 4.9769913e-05 |
| 11,796 | Explaining Differentially Private Query Results With DPXPlain | 2023 | VLDB | 4.9769913e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 32 of 32 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,642 | DOP-SQL: A General-purpose, High-utility, and Extensible Private SQL System | 2024 | VLDB |
| 2 | 1,168 | PrivateSQL: A Differentially Private SQL Query Engine | 2019 | VLDB |
| 3 | 276 | Towards Practical Differential Privacy for SQL Queries | 2018 | VLDB |
| 4 | 10,550 | A General Framework for Per-record Differential Privacy | 2026 | SIGMOD |
| 5 | 2,301 | Principled Evaluation of Differentially Private Algorithms using DPBench | 2016 | SIGMOD |
| 6 | 8,995 | Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration | 2023 | VLDB |
| 7 | 5,185 | APEx: Accuracy-Aware Differentially Private Data Exploration | 2019 | SIGMOD |
| 8 | 13,632 | Demonstration of DPClustX: Differentially Private Explanations for Clusters | 2025 | SIGMOD |
| 9 | 10,534 | Differentially Private Explanations for Clusters | 2026 | SIGMOD |
| 10 | 11,796 | Explaining Differentially Private Query Results With DPXPlain | 2023 | VLDB |