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1 Ergebnisse
1
GuardML: Efficient Privacy-Preserving Machine Learning Serv..:
, In:
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
,
Frimpong, Eugene
;
Nguyen, Khoa
;
Budzys, Mindaugas
.. - p. 953-962 , 2024
Link:
https://dl.acm.org/doi/10.1145/3605098.3635983
RT T1 <cTitle>Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing</cTitle>: T1 <Title>GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3635983&Exemplar=1&LAN=DE A1 Frimpong, Eugene A1 Nguyen, Khoa A1 Budzys, Mindaugas A1 Khan, Tanveer A1 Michalas, Antonis PB ACM YR 2024 K1 hybrid homomorphic encryption K1 machine learning as a service K1 privacy-preserving machine learning K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Security and privacy K1 Cryptography K1 Public key (asymmetric) techniques SP 953 OP 962 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3605098.3635983 DO https://dl.acm.org/doi/10.1145/3605098.3635983 SF ELIB - SuUB Bremen
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