Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations
Summary: Shrinkwrap accelerates SQL over private data federations by exposing computationally differentially private views of intermediate cardinalities, avoiding exhaustive MPC padding. It achieves up to 35× faster evaluation and offers an accuracy–performance trade-off for private outputs. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Johes Bater (Northwestern University)
- 2. Xi He (University of Waterloo)
- 3. William Ehrich (Northwestern University)
- 4. Ashwin Machanavajjhala (Duke University)
- 5. Jennie Rogers (Northwestern University)
BibTeX Citation
@article{bater_vldb19,
title = {{Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations}},
author = {Bater, Johes and He, Xi and Ehrich, William and Machanavajjhala, Ashwin and Rogers, Jennie},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {3},
pages = {307--320},
doi = {10.14778/3291264.3291274},
url = {https://doi.org/10.14778/3291264.3291274},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1 | Access Path Selection in a Relational Database Management System | 1979 | SIGMOD | 0.0024089429 |
| 62 | Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis | 2009 | SIGMOD | 0.00038970535 |
| 281 | Towards Practical Differential Privacy for SQL Queries | 2018 | VLDB | 0.00022445849 |
| 876 | Orthogonal Security With Cipherbase | 2013 | CIDR | 0.00013467554 |
| 1,459 | SMCQL: Secure Querying for Federated Databases | 2017 | VLDB | 0.00010717725 |
| 1,674 | The Tao of Inference in Privacy-Protected Databases | 2018 | VLDB | 0.00010037562 |
| 2,167 | Optimizing error of high-dimensional statistical queries under differential privacy | 2018 | VLDB | 9.047803e-05 |
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| 6 | 6,666 | Residual Sensitivity for Differentially Private Multi-Way Joins | 2021 | SIGMOD |
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| 10 | 1,459 | SMCQL: Secure Querying for Federated Databases | 2017 | VLDB |