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Accelerating FHE with ASICs

January 12, 2022


Nicholas Genise


Abstract. Fully Homomorphic Encryption (FHE) allows computing on encrypted data, enabling secure offloading of computation to untrusted servers. Though it provides ideal security, FHE is expensive when executed in software, 4 to 5 orders of magnitude slower than computing on unencrypted data. These overheads are a major barrier to FHE's widespread adoption. Here we overview some recent work on hardware acceleration for FHE to overcome these hurdles. This work was between MIT, U. of Michigan, and SRI, funded by DARPA. Furthermore, this work is on-going.

Presented at

Crypto Reading Club talk on 2022-Jan-12

Parent Project

See: Crypto Reading Club

Related Topics

Security and Privacy: cryptography

Created June 29, 2022, Updated March 22, 2023