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DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance
Summary: DProvDB introduces fine-grained privacy provenance for multi-analyst differential privacy. It tracks per-analyst privacy loss and allocates the budget by privilege level, maximizing the number of accurately answered queries under a fixed budget (non-colluding).
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6768
- Venue
- SIGMOD
- Year
- 2023
- Pagerank
- 4.7355114e-05
- Overall Rank
- 7,417 | 48.41%
- DOI
-
10.1145/3626761
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 83 |
Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis |
2009 |
SIGMOD |
0.00053933811 |
| 453 |
Towards Practical Differential Privacy for SQL Queries |
2018 |
VLDB |
0.00022741848 |
| 1,602 |
Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets |
2014 |
VLDB |
0.00011199166 |
| 1,738 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
0.00010720057 |
| 2,227 |
Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies |
2014 |
SIGMOD |
9.2421238e-05 |
| 2,776 |
iReduct: Differential Privacy with Reduced Relative Errors |
2011 |
SIGMOD |
8.1326122e-05 |
| 3,469 |
CGM: An Enhanced Mechanism for Streaming Data Collection with Local Differential Privacy |
2021 |
VLDB |
7.0674518e-05 |
| 4,502 |
ϵktelo: A Framework for Defining Differentially-Private Computations |
2018 |
SIGMOD |
6.1366984e-05 |
| 5,349 |
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy |
2023 |
SIGMOD |
5.553869e-05 |
| 5,491 |
R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys |
2022 |
SIGMOD |
5.4776364e-05 |
| 5,669 |
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy |
2022 |
VLDB |
5.380575e-05 |
| 6,065 |
APEx: Accuracy-Aware Differentially Private Data Exploration |
2019 |
SIGMOD |
5.2291685e-05 |
| 6,970 |
Architecting a Differentially Private SQL Engine |
2019 |
CIDR |
4.8796169e-05 |
| 7,064 |
Residual Sensitivity for Differentially Private Multi-Way Joins |
2021 |
SIGMOD |
4.8450749e-05 |
| 7,619 |
Budget Sharing for Multi-Analyst Differential Privacy |
2021 |
VLDB |
4.6941145e-05 |
| 7,864 |
Differentially Private Data Release over Multiple Tables |
2023 |
PODS |
4.6327272e-05 |
| 7,997 |
Optimizing Fitness-For-Use of Differentially Private Linear Queries |
2021 |
VLDB |
4.6105691e-05 |
| 8,837 |
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration |
2023 |
VLDB |
4.4393184e-05 |
| 9,512 |
Answering Private Linear Queries Adaptively using the Common Mechanism |
2023 |
VLDB |
4.3335882e-05 |
| 9,513 |
Multi-Analyst Differential Privacy for Online Query Answering |
2023 |
VLDB |
4.3335882e-05 |
| 9,514 |
Framework for Differentially Private Data Analysis with Multiple Accuracy Requirements |
2021 |
SIGMOD |
4.3335882e-05 |
| 9,673 |
Don’t Be a Tattle-Tale: Preventing Leakages through Data Dependencies on Access Control Protected Data |
2022 |
VLDB |
4.3055474e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 9,514 |
Framework for Differentially Private Data Analysis with Multiple Accuracy Requirements |
2021 |
SIGMOD |
4.3335882e-05 |
| 9,513 |
Multi-Analyst Differential Privacy for Online Query Answering |
2023 |
VLDB |
4.3335882e-05 |
| 7,064 |
Residual Sensitivity for Differentially Private Multi-Way Joins |
2021 |
SIGMOD |
4.8450749e-05 |
| 11,471 |
On Optimizing the Trade-off between Privacy and Utility in Data Provenance |
2021 |
SIGMOD |
4.1945683e-05 |
| 10,041 |
A General Framework for Per-record Differential Privacy |
2026 |
SIGMOD |
4.1945683e-05 |
| 83 |
Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis |
2009 |
SIGMOD |
0.00053933811 |
| 11,112 |
DOP-SQL: A General-purpose, High-utility, and Extensible Private SQL System |
2024 |
VLDB |
4.1945683e-05 |
| 453 |
Towards Practical Differential Privacy for SQL Queries |
2018 |
VLDB |
0.00022741848 |
| 1,738 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
0.00010720057 |
| 6,970 |
Architecting a Differentially Private SQL Engine |
2019 |
CIDR |
4.8796169e-05 |