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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
h19f2525c2fcc9789
Venue
SIGMOD
Year
2023
Pagerank
5.760947e-05
Overall Rank
6,505 | 56.27%
DOI
10.1145/3626761

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhang_sigmod23,
        title = {{DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance}},
        author = {Zhang, Shufan and He, Xi},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3626761},
        url = {https://dl.acm.org/doi/10.1145/3626761},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
8,418 Femur: A Flexible Framework for Fast and Secure Querying from Public Key-Value Store 2025 SIGMOD 5.3350162e-05
9,071 Privacy and Accuracy-Aware AI/ML Model Deduplication 2025 SIGMOD 5.2283159e-05
10,440 DP-S4S: Accurate and Scalable Select-Join-Aggregate Query Processing with User-Level Differential Privacy 2026 SIGMOD 4.9793485e-05
11,544 Personalized Truncation for Personalized Privacy 2024 SIGMOD 4.9793485e-05
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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
64 Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis 2009 SIGMOD 0.00038522486
276 Towards Practical Differential Privacy for SQL Queries 2018 VLDB 0.0002234348
1,166 PrivateSQL: A Differentially Private SQL Query Engine 2019 VLDB 0.00011731286
1,240 Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets 2014 VLDB 0.00011378375
2,370 Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies 2014 SIGMOD 8.5616358e-05
2,855 iReduct: Differential Privacy with Reduced Relative Errors 2011 SIGMOD 7.9391282e-05
3,174 CGM: An Enhanced Mechanism for Streaming Data Collection with Local Differential Privacy 2021 VLDB 7.5678238e-05
4,412 ϵktelo: A Framework for Defining Differentially-Private Computations 2018 SIGMOD 6.6112155e-05
4,496 R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys 2022 SIGMOD 6.5764614e-05
4,944 PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy 2023 SIGMOD 6.3439252e-05
5,184 APEx: Accuracy-Aware Differentially Private Data Exploration 2019 SIGMOD 6.2392459e-05
6,539 Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy 2022 VLDB 5.7533709e-05
6,803 Residual Sensitivity for Differentially Private Multi-Way Joins 2021 SIGMOD 5.6783493e-05
7,295 Architecting a Differentially Private SQL Engine 2019 CIDR 5.5626111e-05
7,793 Budget Sharing for Multi-Analyst Differential Privacy 2021 VLDB 5.4516368e-05
8,008 Differentially Private Data Release over Multiple Tables 2023 PODS 5.4075828e-05
8,133 Optimizing Fitness-For-Use of Differentially Private Linear Queries 2021 VLDB 5.3931029e-05
8,985 Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration 2023 VLDB 5.2430119e-05
9,778 Answering Private Linear Queries Adaptively using the Common Mechanism 2023 VLDB 5.1309523e-05
9,779 Multi-Analyst Differential Privacy for Online Query Answering 2023 VLDB 5.1309523e-05
9,780 Framework for Differentially Private Data Analysis with Multiple Accuracy Requirements 2021 SIGMOD 5.1309523e-05
10,025 Don’t Be a Tattle-Tale: Preventing Leakages through Data Dependencies on Access Control Protected Data 2022 VLDB 5.0934585e-05
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# Overall Rank Paper Year Venue
1 9,780 Framework for Differentially Private Data Analysis with Multiple Accuracy Requirements 2021 SIGMOD
2 9,779 Multi-Analyst Differential Privacy for Online Query Answering 2023 VLDB
3 6,803 Residual Sensitivity for Differentially Private Multi-Way Joins 2021 SIGMOD
4 11,975 On Optimizing the Trade-off between Privacy and Utility in Data Provenance 2021 SIGMOD
5 10,539 A General Framework for Per-record Differential Privacy 2026 SIGMOD
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7 11,636 DOP-SQL: A General-purpose, High-utility, and Extensible Private SQL System 2024 VLDB
8 276 Towards Practical Differential Privacy for SQL Queries 2018 VLDB
9 1,166 PrivateSQL: A Differentially Private SQL Query Engine 2019 VLDB
10 7,295 Architecting a Differentially Private SQL Engine 2019 CIDR