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Nikola Samardzic
,
Axel Feldmann
,
Aleksandar Krastev
,
Nathan Manohar
,
Nicholas Genise
,
Srinivas Devadas
,
Karim Eldefrawy
,
Chris Peikert
,
Daniel Sánchez
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1145/3470496.3527393
· OA: W4281792301
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1145/3470496.3527393
· OA: W4281792301
Fully Homomorphic Encryption (FHE) enables offloading computation to untrusted servers with cryptographic privacy. Despite its attractive security, FHE is not yet widely adopted due to its prohibitive overheads, about 10,000X over unencrypted computation. Recent FHE accelerators have made strides to bridge this performance gap. Unfortunately, prior accelerators only work well for simple programs, but become inefficient for complex programs, which bring additional costs and challenges.
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