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Enabling Personal Consent in Databases

Summary: Enables fine-grained consent constraints and personal data usage contracts in relational databases. A provenance-based framework automatically enforces these constraints by filtering query results through unification-based rewriting; implemented in open-source RDBMS and evaluated on TPC-H and ICU data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12879
Venue
VLDB
Year
2022
Pagerank
4.3900952e-05
Overall Rank
9,130 | 36.49%
DOI
10.14778/3489496.3489516

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
6,898 Disclosure-Compliant Query Answering 2024 SIGMOD 4.8925595e-05
9,043 Query-Guided Resolution in Uncertain Databases 2023 SIGMOD 4.4039656e-05
10,132 A Game Theory Approach for Negotiating in Data Marketplaces 2026 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

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