mirror of
https://github.com/privacy-scaling-explorations/pse.dev.git
synced 2026-04-23 03:01:03 -04:00
Merge branch 'stage/dev' of github.com:privacy-scaling-explorations/website-v2 into refactor/news
This commit is contained in:
@@ -247,7 +247,7 @@ export const projects = [
|
||||
description:
|
||||
"ZKML is a solution that combines the power of zero-knowledge proofs (ZKPs) and machine learning to address the privacy concerns in traditional machine learning. It provides a platform for machine learning developers to convert their TensorFlow Keras models into ZK-compatible versions, ensuring model privacy, data privacy, and transparent verification. ZKML can be used to verify if a specific machine learning model was used to generate a particular piece of content, without revealing the input or the model used. It has potential use cases in on-chain biometric authentication, private data marketplace, proprietary ML model sharing, and AIGC NFTs.",
|
||||
links: {
|
||||
github: "https://github.com/socathie",
|
||||
github: "https://github.com/socathie/circomlib-ml",
|
||||
},
|
||||
tags: {
|
||||
themes: ["Anonymity/privacy", "Scaling"],
|
||||
|
||||
Reference in New Issue
Block a user