Back to papers
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
- 6769
- Venue
- SIGMOD
- Year
- 2023
- Pagerank
- 4.7309698e-05
- Overall Rank
- 7,416 | 48.46%
- 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 |
0.00053910987 |
| 451 |
Towards Practical Differential Privacy for SQL Queries |
2018 |
VLDB |
0.00022807098 |
| 1,607 |
Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets |
2014 |
VLDB |
0.00011171719 |
| 1,740 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
0.00010696383 |
| 2,228 |
Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies |
2014 |
SIGMOD |
9.2488181e-05 |
| 2,798 |
iReduct: Differential Privacy with Reduced Relative Errors |
2011 |
SIGMOD |
8.1092023e-05 |
| 3,474 |
CGM: An Enhanced Mechanism for Streaming Data Collection with Local Differential Privacy |
2021 |
VLDB |
7.0606467e-05 |
| 4,504 |
ϵktelo: A Framework for Defining Differentially-Private Computations |
2018 |
SIGMOD |
6.1307972e-05 |
| 5,264 |
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy |
2023 |
SIGMOD |
5.5951175e-05 |
| 5,499 |
R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys |
2022 |
SIGMOD |
5.4737427e-05 |
| 5,681 |
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy |
2022 |
VLDB |
5.3754088e-05 |
| 6,067 |
APEx: Accuracy-Aware Differentially Private Data Exploration |
2019 |
SIGMOD |
5.2241487e-05 |
| 6,969 |
Architecting a Differentially Private SQL Engine |
2019 |
CIDR |
4.8749348e-05 |
| 7,059 |
Residual Sensitivity for Differentially Private Multi-Way Joins |
2021 |
SIGMOD |
4.8404261e-05 |
| 7,620 |
Budget Sharing for Multi-Analyst Differential Privacy |
2021 |
VLDB |
4.6896122e-05 |
| 7,865 |
Differentially Private Data Release over Multiple Tables |
2023 |
PODS |
4.6282846e-05 |
| 8,000 |
Optimizing Fitness-For-Use of Differentially Private Linear Queries |
2021 |
VLDB |
4.6061476e-05 |
| 8,837 |
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration |
2023 |
VLDB |
4.4350633e-05 |
| 9,513 |
Answering Private Linear Queries Adaptively using the Common Mechanism |
2023 |
VLDB |
4.3294349e-05 |
| 9,514 |
Multi-Analyst Differential Privacy for Online Query Answering |
2023 |
VLDB |
4.3294349e-05 |
| 9,515 |
Framework for Differentially Private Data Analysis with Multiple Accuracy Requirements |
2021 |
SIGMOD |
4.3294349e-05 |
| 9,673 |
Don’t Be a Tattle-Tale: Preventing Leakages through Data Dependencies on Access Control Protected Data |
2022 |
VLDB |
4.3014213e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 9,515 |
Framework for Differentially Private Data Analysis with Multiple Accuracy Requirements |
2021 |
SIGMOD |
4.3294349e-05 |
| 9,514 |
Multi-Analyst Differential Privacy for Online Query Answering |
2023 |
VLDB |
4.3294349e-05 |
| 7,059 |
Residual Sensitivity for Differentially Private Multi-Way Joins |
2021 |
SIGMOD |
4.8404261e-05 |
| 11,474 |
On Optimizing the Trade-off between Privacy and Utility in Data Provenance |
2021 |
SIGMOD |
4.1905499e-05 |
| 10,041 |
A General Framework for Per-record Differential Privacy |
2026 |
SIGMOD |
4.1905499e-05 |
| 83 |
Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis |
2009 |
SIGMOD |
0.00053910987 |
| 11,115 |
DOP-SQL: A General-purpose, High-utility, and Extensible Private SQL System |
2024 |
VLDB |
4.1905499e-05 |
| 451 |
Towards Practical Differential Privacy for SQL Queries |
2018 |
VLDB |
0.00022807098 |
| 1,740 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
0.00010696383 |
| 6,969 |
Architecting a Differentially Private SQL Engine |
2019 |
CIDR |
4.8749348e-05 |