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Homomorphic WiSARDs: Efficient Weightless Neural Network training over encrypted data
The widespread application of machine learning algorithms is a matter of increasing concern for the data privacy research community, …
Leonardo Neumann, Antonio Guimarães, Diego F. Aranha, Edson Borin
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HELIOPOLIS: Verifiable Computation over Homomorphically Encrypted Data from Interactive Oracle Proofs is Practical
Homomorphic encryption (HE) enables computation on encrypted data, which in turn facilitates the outsourcing of computation on private …
Diego F. Aranha, Anamaria Costache, Antonio Guimarães, Eduardo Soria-Vazquez
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MOSFHET: Optimized Software for FHE over the Torus
Homomorphic encryption is one of the most secure solutions for processing sensitive information in untrusted environments, and there …
Antonio Guimarães, Edson Borin, Diego F. Aranha
Cite URL GitHub