45 citations · 82 across the 9 of their papers we have counts for
9 papers
GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption
Kaustubh Shivdikar, Yuhui Bao, Rashmi Agrawal +9
Fully Homomorphic Encryption (FHE) enables the processing of encrypted data without decrypting it. FHE has garnered significant attention over the past decade as it supports secure…
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…
Accelerating Polynomial Multiplication for Homomorphic Encryption on GPUs
Kaustubh Shivdikar, Gilbert Jonatan, Evelio Mora +6
Homomorphic Encryption (HE) enables users to securely outsource both the storage and computation of sensitive data to untrusted servers. Not only does HE offer an attractive soluti…
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-…
Efficient FPGA-based ECDSA Verification Engine for Permissioned Blockchains
Rashmi Agrawal, Ji Yang, Haris Javaid
As enterprises embrace blockchain technology, many real-world applications have been developed and deployed using permissioned blockchain platforms (access to network is controlled…
Fast Arithmetic Hardware Library For RLWE-Based Homomorphic Encryption
Rashmi Agrawal, Lake Bu, Alan Ehret +1
In this work, we propose an open-source, first-of-its-kind, arithmetic hardware library with a focus on accelerating the arithmetic operations involved in Ring Learning with Error…
A Lightweight McEliece Cryptosystem Co-processor Design
Lake Bu, Rashmi Agrawal, Hai Cheng +1
Due to the rapid advances in the development of quantum computers and their susceptibility to errors, there is a renewed interest in error correction algorithms. In particular, err…
Fast Processing of Large Graph Applications Using Asynchronous Architecture
Michel A. Kinsy, Rashmi S. Agrawal, Hien D. Nguyen
Graph algorithms and techniques are increasingly being used in scientific and commercial applications to express relations and explore large data sets. Although conventional or com…