Qrlew: Rewriting SQL into Differentially Private SQL
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866907766031908864 |
|---|---|
| author | Grislain, Nicolas Roussel, Paul Agathe, Victoria de Sainte |
| author_facet | Grislain, Nicolas Roussel, Paul Agathe, Victoria de Sainte |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_06273 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Qrlew: Rewriting SQL into Differentially Private SQL Grislain, Nicolas Roussel, Paul Agathe, Victoria de Sainte Databases Machine Learning 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. |
| title | Qrlew: Rewriting SQL into Differentially Private SQL |
| topic | Databases Machine Learning |
| url | https://arxiv.org/abs/2401.06273 |