Accelerating homomorphic evaluation on reconfigurable hardware

DOI10.1007/978-3-662-48324-4_8zbMath1380.94116OpenAlexW2246684855MaRDI QIDQ1695861

Andrew Putnam, Thomas Pöppelmann, Adrian Macias, Michael Naehrig

Publication date: 14 February 2018

Full work available at URL: https://doi.org/10.1007/978-3-662-48324-4_8

zbMATH Keywords

FPGAreconfigurable computinghomomorphic encryptionring learning with errors

Mathematics Subject Classification ID

Cryptography (94A60) Data encryption (aspects in computer science) (68P25)

Related Items (2)

Algorithmic acceleration of B/FV-like somewhat homomorphic encryption for compute-enabled RAM ⋮ Somewhat/Fully Homomorphic Encryption: Implementation Progresses and Challenges

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