A Review of Homomorphic Encryption and its Contribution to the Sector of Health Services
Author:
Affiliation:
1. Dpt. of Computer Science and Biomedical Informatics, University of Thessaly, Greece
Funder
European Regional Development Fund
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3635059.3635096
Reference28 articles.
1. Louis JM Aslett, Pedro M Esperança, and Chris C Holmes. 2015. A review of homomorphic encryption and software tools for encrypted statistical machine learning. arXiv preprint arXiv:1508.06574 (2015).
2. A homomorphic encryption-based system for securely managing personal health metrics data
3. Homomorphic encryption enables private data sharing for digital health: winning entry to the Vinnova innovation competition Vinter 2021–22
4. Sergiu Carpov, Thanh Hai Nguyen, Renaud Sirdey, Gianpiero Constantino, and Fabio Martinelli. 2016. Practical privacy-preserving medical diagnosis using homomorphic encryption. In 2016 ieee 9th international conference on cloud computing (cloud). IEEE, 593–599.
5. TFHE: Fast Fully Homomorphic Encryption Over the Torus
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1. Homomorphic Encryption and Collaborative Machine Learning for Secure Healthcare Analytics;SECURITY AND PRIVACY;2024-09-13
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