mlsanityData to 7 Oct 2026

Qrlew: Rewriting SQL into Differentially Private SQL

arXiv 2401.06273 ↗First posted 11 Jan 2024cs.DB cs.LGcited by 1

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Abstract (arXiv)

This paper introduces Qrlew, an open source library that can parse SQL queries into Relations -- an intermediate representation -- that keeps track of rich data types, value ranges, and row ownership; so that they can easily be rewritten into differentially-private equivalent and turned back into SQL queries for execution in a variety of standard data stores. With Qrlew, a data practitioner can express their data queries in standard SQL; the data owner can run the rewritten query without any technical integration and with strong privacy guarantees on the output; and the query rewriting can be operated by a privacy-expert who must be trusted by the owner, but may belong to a separate organization.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 12 of its 34 references that are in the map. First posted on arXiv 11 Jan 2024.

Builds on

12 of 34 references.

References · 12

  1. 2016Deep Learning with Differential Privacycited by 2,682
  2. 2021Winning the NIST Contest: A scalable and general approach to differentially private synthetic datacited by 101
  3. 2019Diffprivlib: The IBM Differential Privacy Librarycited by 51
  4. 2020Learning discrete distributions: user vs item-level privacycited by 41
  5. 2019Differentially Private SQL with Bounded User Contributioncited by 27
  6. 2023DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generationcited by 13
  7. 2022Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix Itcited by 8
  8. 2023Privately generating tabular data using language modelscited by 5
  9. 2018Chorus: a Programming Framework for Building Scalable Differential Privacy Mechanismscited by 4
  10. 2022Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacycited by 4
  11. 2022Generative Modeling of Complex Datacited by 3
  12. 2013Identifying Participants in the Personal Genome Project by Name (A Re-identification Experiment)cited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026DPSQL+: A Differentially Private SQL Library with a Minimum Frequency Rulecited by 0