PRISM: privacy-preserving rare disease analysis using fully homomorphic encryption. [PDF]
Akkaya G, Erdoğmuş N, Akgün M.
europepmc +1 more source
Hierarchical Clustering via Single and Complete Linkage Using Fully Homomorphic Encryption. [PDF]
Sokhonn L, Park YS, Lee MK.
europepmc +1 more source
Contributions to fully homomorphic encryption
En els darrers anys, la tecnologia de Xifrat Totalment Homomòrfic (FHE en les sigles an anglès) s’ha convertit en un dels principals pilar per a les tecnologies de preservació de la privacitat. No obstant això, molts reptes encara persisteixen abans que aquesta tecnologia pugui ser àmpliament adoptada a la pràctica.
openaire +1 more source
Optimisations of Fully Homomorphic Encryption
Fully homomorphic encryption (FHE) is a class of encryption algorithms that support any computation on encrypted messages without revealing anything about these messages in unencrypted form except for their maximal size. Using FHE, a party that owns private data can securely outsource computations on this data to another party.
openaire +1 more source
Explainable and secure federated learning for privacy-enhancing skin cancer classification using a lightweight multi-scale CNN. [PDF]
Sayeed ASM +7 more
europepmc +1 more source
Scalable privacy-preserving data analytics for IoMT via FHE and zk-SNARK-enabled edge aggregation. [PDF]
Ben Othman S, Mihret N.
europepmc +1 more source
FedGraphHE: A privacy-preserving federated graph neural network framework with dynamic homomorphic encryption and robust aggregation. [PDF]
Zuo A +5 more
europepmc +1 more source
LSTM guided homomorphic encryption for threat-resistant IoT networks. [PDF]
Kumar S +5 more
europepmc +1 more source
Quantum resilient security framework for privacy preserving AI in Apple MM1 on device architecture. [PDF]
Umer N +4 more
europepmc +1 more source
Secure Data Aggregation with Fully Homomorphic Encryption in Large-Scale Wireless Sensor Networks. [PDF]
Li X, Chen D, Li C, Wang L.
europepmc +1 more source

