Git-Mirrors/privacyguides.org
1
0
Fork 0
mirror of https://github.com/privacyguides/privacyguides.org.git synced 2025-12-18 01:04:25 -05:00
Code Issues Projects Releases Packages Wiki Activity

add IBM

Browse source
This commit is contained in:
fria 2025-07-30 07:58:27 -05:00 • committed by GitHub
parent cc583e2b06
commit bae34dfa7b
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
1 changed files with 8 additions and 0 deletions
Download patch file Download diff file Expand all files Collapse all files

8
blog/posts/homomorphic-encryption.md
View file

@ -129,6 +129,12 @@ Fully-homomorphic encryption has advanced enough that it's become practical to u
In the interest of making FHE as accessible and open as possible, [OpenFHE](https://openfhe-development.readthedocs.io/en/latest/index.html) is an open-source library that offers efficient implementations of different FHE schemes, with the aim of making it easier for developers to implement FHE. In the interest of making FHE as accessible and open as possible, [OpenFHE](https://openfhe-development.readthedocs.io/en/latest/index.html) is an open-source library that offers efficient implementations of different FHE schemes, with the aim of making it easier for developers to implement FHE.
### IBM
IBM were one of the first companies to release an open source FHE library. Their [HElib](https://github.com/homenc/HElib) was mentioned in several papers and drove the field of FHE forward. As a cloud-focused company it makes a lot of sense that they would want to protect their customers' and their customers' customers' data as much as possible, and making efficient FHE ought to be at the top of their priority list.
IBM offers FHE as part of its [security consulting services](https://www.ibm.com/services/security) so companies can transition to more secure data processing.
### Apple ### Apple
Apple is making use of [FHE](https://machinelearning.apple.com/research/homomorphic-encryption) mainly for privately looking up info on a server. Apple is making use of [FHE](https://machinelearning.apple.com/research/homomorphic-encryption) mainly for privately looking up info on a server.
@ -149,6 +155,8 @@ Google's goals are ambitious, and I hope it works out the way they're hoping. Th
I'd like to see Google openly using FHE in their products, they seem to bizarrely falling behind other companies like Apple on using E2EE on their own products while also being at the forefront of research. I'd like to see Google openly using FHE in their products, they seem to bizarrely falling behind other companies like Apple on using E2EE on their own products while also being at the forefront of research.
## Looking Toward the Future of FHE ## Looking Toward the Future of FHE
Lots of companies are working toward [standardizing](https://www.iso.org/standard/87638.html) and accelerating the adoption of FHE. Lots of companies are working toward [standardizing](https://www.iso.org/standard/87638.html) and accelerating the adoption of FHE.