25 citations · 34 across the 3 of their papers we have counts for
3 papers
RISE: RISC-V SoC for En/decryption Acceleration on the Edge for Homomorphic Encryption
Zahra Azad, Guowei Yang, Rashmi Agrawal +3
Today edge devices commonly connect to the cloud to use its storage and compute capabilities. This leads to security and privacy concerns about user data. Homomorphic Encryption (H…
FAB: An FPGA-based Accelerator for Bootstrappable Fully Homomorphic Encryption
Rashmi Agrawal, Leo de Castro, Guowei Yang +5
FHE offers protection to private data on third-party cloud servers by allowing computations on the data in encrypted form. However, to support general-purpose encrypted computation…
Does Fully Homomorphic Encryption Need Compute Acceleration?
Leo de Castro, Rashmi Agrawal, Rabia Yazicigil +4
Fully Homomorphic Encryption (FHE) allows arbitrarily complex computations on encrypted data without ever needing to decrypt it, thus enabling us to maintain data privacy on third-…