RESIDUE NUMBER SYSTEM ENHANCEMENTS FOR PROGRAMMABLE PROCESSORS
By Rooju Chokshi. 2008
330 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/8c5dd2d01d2f24786973efc9805cdbda7284679b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Daniel Genkin
- Hao Chen
- Srini Devadas
- Yuval Yarom
- Nicholas Genise
- Axel S. Feldmann
- Nadia Heninger
- Jean-Claude Bajard
Citations in the corpus
- CacheBleed: a timing attack on OpenSSL constant-time RSA (2016, methodology): “The message m can then be recovered from m p and mq using Garner’s formula [23]:”
- FLUSH+RELOAD: A High Resolution, Low Noise, L3 Cache Side-Channel Attack (2014, methodology): “m is then computed from mp and mq using Garner’s formula [25]:”
- F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption (2021, background): “RNS representation [31] enables representing a single polynomial with wide coefficients as multiple polynomials with narrower coefficients, called residue polynomials.”
- A Full RNS Variant of FV Like Somewhat Homomorphic Encryption Schemes (2016, background): “And the rounding operation involves comparisons which require to switch from RNS to another positional system anyway, should it be a classical binary system or a mixed-radix one [12].”