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Automatic Enforcement of Data Use Policies with DataLawyer

Summary: DataLawyer provides formal usage policies enforced at query runtime in a relational DBMS. A compact policy model and novel evaluation algorithms cut policy overhead to a few percent of query time; implemented and tested on a real healthcare dataset. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hcf9b413cf4240cbd
Venue
SIGMOD
Year
2015
Pagerank
6.9311884e-05
Overall Rank
3,901 | 73.79%
DOI
10.1145/2723372.2723721

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{upadhyaya_sigmod15,
        title = {{Automatic Enforcement of Data Use Policies with DataLawyer}},
        author = {Upadhyaya, Prasang and Balazinska, Magdalena and Suciu, Dan},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2723721},
        url = {https://dl.acm.org/doi/10.1145/2723372.2723721},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
1,496 SMCQL: Secure Querying for Federated Databases 2017 VLDB 0.00010479934
4,059 Database-Agnostic Workload Management 2019 CIDR 6.8226757e-05
7,653 Disclosure-Compliant Query Answering 2024 SIGMOD 5.4746904e-05
7,743 Software-Defined Data Protection: Low Overhead Policy Compliance at the Storage Layer is Within Reach! 2021 VLDB 5.4597854e-05
9,413 Enabling Personal Consent in Databases 2022 VLDB 5.180433e-05
12,445 Big Data Research: Will Industry Solve all the Problems? 2015 VLDB 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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