Retrofitting GDPR Compliance onto Legacy Databases
Summary: GDPRizer enables mostly-automated GDPR data extraction for legacy databases. In a three-web-app case study, it achieves 100% precision and 96–100% recall by combining foreign keys, query-logs, data-driven signals, and coarse DBA annotations. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Archita Agarwal (Denison University)
- 2. Marilyn George (Brown University)
- 3. Aaron Jeyaraj (Brown University)
- 4. Malte Schwarzkopf (Brown University)
BibTeX Citation
@article{agarwal_vldb22,
title = {{Retrofitting GDPR Compliance onto Legacy Databases}},
author = {Agarwal, Archita and George, Marilyn and Jeyaraj, Aaron and Schwarzkopf, Malte},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {4},
pages = {958--970},
doi = {10.14778/3503585.3503603},
url = {https://doi.org/10.14778/3503585.3503603},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,925 | Meaningful Data Erasure in the Presence of Dependencies | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 963 | The Data Civilizer System | 2017 | CIDR | 0.00012935145 |
| 1,521 | On Multi-Column Foreign Key Discovery | 2010 | VLDB | 0.00010506299 |
| 3,853 | Understanding and Benchmarking the Impact of GDPR on Database Systems | 2020 | VLDB | 7.0733274e-05 |
| 4,386 | Divide & Conquer-based Inclusion Dependency Discovery | 2015 | VLDB | 6.7309577e-05 |
| 5,099 | Fast Foreign-Key Detection in Microsoft SQL Server PowerPivot for Excel | 2014 | VLDB | 6.3646928e-05 |
| 7,598 | Software-Defined Data Protection: Low Overhead Policy Compliance at the Storage Layer is Within Reach! | 2021 | VLDB | 5.5877452e-05 |
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