SwaNN: Switching among Cryptographic Tools for Privacy-preserving Neural Network Predictions
- DOI
- 10.5220/0009890704970504
- Published
- 2020
- Container
- Proceedings of the 17th International Joint Conference on e-Business and Telecommunications
- Publisher
- SCITEPRESS - Science and Technology Publications
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.5220/0009890704970504,
title = {SwaNN: Switching among Cryptographic Tools for Privacy-preserving Neural Network Predictions},
author = {Gamze Tillem and Beyza Bozdemir and Melek Önen},
year = {2020},
journal = {Proceedings of the 17th International Joint Conference on e-Business and Telecommunications},
doi = {10.5220/0009890704970504},
url = {https://doi.org/10.5220/0009890704970504}
}RIS
TY - JOUR TI - SwaNN: Switching among Cryptographic Tools for Privacy-preserving Neural Network Predictions AU - Gamze Tillem AU - Beyza Bozdemir AU - Melek Önen PY - 2020 JO - Proceedings of the 17th International Joint Conference on e-Business and Telecommunications DO - 10.5220/0009890704970504 UR - https://doi.org/10.5220/0009890704970504 ER -
APA
Tillem, G., Bozdemir, B., & Önen, M. (2020). SwaNN: Switching among Cryptographic Tools for Privacy-preserving Neural Network Predictions. Proceedings of the 17th International Joint Conference on e-Business and Telecommunications. https://doi.org/10.5220/0009890704970504
Source records
- crossref · retrieved 2026-11-10T11:23:07.692Z