Computational Differential Privacy for Encrypted Databases Supporting Linear Queries
- DOI
- 10.56553/popets-2024-0131
- Published
- 2024-10
- Container
- Proceedings on Privacy Enhancing Technologies
- Publisher
- Privacy Enhancing Technologies Symposium Advisory Board
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.56553/popets-2024-0131,
title = {Computational Differential Privacy for Encrypted Databases Supporting Linear Queries},
author = {Ferran Alborch Escobar and Sébastien Canard and Fabien Laguillaumie and Duong Hieu Phan},
year = {2024},
journal = {Proceedings on Privacy Enhancing Technologies},
doi = {10.56553/popets-2024-0131},
url = {https://doi.org/10.56553/popets-2024-0131}
}RIS
TY - JOUR TI - Computational Differential Privacy for Encrypted Databases Supporting Linear Queries AU - Ferran Alborch Escobar AU - Sébastien Canard AU - Fabien Laguillaumie AU - Duong Hieu Phan PY - 2024 JO - Proceedings on Privacy Enhancing Technologies DO - 10.56553/popets-2024-0131 UR - https://doi.org/10.56553/popets-2024-0131 ER -
APA
Escobar, F. A., Canard, S., Laguillaumie, F., & Phan, D. H. (2024). Computational Differential Privacy for Encrypted Databases Supporting Linear Queries. Proceedings on Privacy Enhancing Technologies. https://doi.org/10.56553/popets-2024-0131
Source records
- crossref · retrieved 2026-09-25T21:02:55.123Z