Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update README.md #3

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
# AonoHomomorphicEncryption
This is a Proof-of-Concept implementation of the homomorphic encryption scheme by Yoshinori Aono et al. This scheme was first introduced in the paper - "Fast and Secure Linear Regression and Biometric Authentication with Security Update" by Yoshinori Aono et al. (https://pdfs.semanticscholar.org/73f0/aa4e1b47b55f0f3d8464f61750e559067c56.pdf). A really unique feature supported by this proposal is the support for key switching. All the code is written in PARI library (http://pari.math.u-bordeaux.fr/) in C++.
This is a Proof-of-Concept implementation of the homomorphic encryption scheme by Yoshinori Aono et al. This scheme was first introduced in the paper - "Fast and Secure Linear Regression and Biometric Authentication with Security Update" by Yoshinori Aono et al. (https://pdfs.semanticscholar.org/73f0/aa4e1b47b55f0f3d8464f61750e559067c56.pdf). A really unique feature supported by this proposal is the support for key switching. All the code is written in PARI library (http://pari.math.u-bordeaux.fr/) in C++

This code also has an independent header containing a PARI implementation of the Knuth-Yao's Algorithm for sampling from a discrete Gaussian distribution. The paper followed for understanding and implementing the algorithm - High Precision Discrete Gaussian Sampling on FPGAs (https://www.esat.kuleuven.be/cosic/publications/article-2372.pdf).

Expand Down