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Sypse: Privacy-first Data Management through Pseudonymization and Partitioning

Summary: Sypse: a privacy-first DB rearchitecture combining pseudonymization, synthetic data, and data partitioning to separate PII from detailed attributes, limiting breach impact and developer access. Presents concrete architecture and strategies enabling efficient overwrites for GDPR-style deletion plus initial performance tradeoffs. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
423
Venue
CIDR
Year
2021
Pagerank
4.3055474e-05
Overall Rank
9,674 | 32.70%
DOI
-

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Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
5,411 Beyond Relations: A Case for Elevating to the Entity-Relationship Abstraction 2025 CIDR 5.5207515e-05
6,898 Disclosure-Compliant Query Answering 2024 SIGMOD 4.8925595e-05
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