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Databases are at the core of successful businesses. Due to the voluminous stores of personal data being held by companies today, preserving privacy has become a crucial requirement for operating a business. This paper proposes how current relational database management systems can be transformed into their privacy-preserving equivalents. Specifically, we present language constructs and implementation design for fine-grained access control to achieve this goal.
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Stored only when both papers are in the corpus — 135 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.