Git-Mirrors/privacyguides.org
1
0
Fork 0
mirror of https://github.com/privacyguides/privacyguides.org.git synced 2025-12-17 08:44:41 -05:00
Code Issues Projects Releases Packages Wiki Activity

add annotation

Browse source
This commit is contained in:
fria 2025-07-30 10:24:53 -05:00 • committed by GitHub
parent 162b71a6ef
commit 6072fe34d3
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
1 changed files with 4 additions and 1 deletions
Download patch file Download diff file Expand all files Collapse all files

5
blog/posts/homomorphic-encryption.md
View file

@ -181,7 +181,10 @@ One of the main bottlenecks for adoption of FHE is the extra computation cost.
In an effort to address this issue, DARPA introduced their [Data Protection in Virtual Environments (DPRIVE) program](https://www.darpa.mil/news/2021/homomorphic-encryption), working directly with four companies: Duality Technologies, Galois, SRI International, and Intel Federal. The end goal? To create hardware accelerators that can bring the speed closer to what the computations would be in plaintext.
Similar to [hardware-accelerated AES](https://www.ti.com/lit/ug/slau458f/slau458f.pdf?ts=1753712760177&ref_url=https%253A%252F%252Fduckduckgo.com%252F) we have in chips nowadays, these [hardware accelerators](https://spectrum.ieee.org/homomorphic-encryption) could enable FHE at speeds fast enough to be practical for most everyday computations.
Similar to [hardware-accelerated AES](https://www.ti.com/lit/ug/slau458f/slau458f.pdf?ts=1753712760177&ref_url=https%253A%252F%252Fduckduckgo.com%252F) we have in chips nowadays, these [hardware accelerators](https://spectrum.ieee.org/homomorphic-encryption) could enable FHE at speeds fast enough to be practical for most everyday computations.(1)
{ .annotate }
1. This is an example of [Private Information Retrieval](https://crypto.stanford.edu/pir-library/) (PIR)
#### BASALISC