Presidio Research
+Evaluate PII detection models and generate synthetic PII data - a + framework for benchmarking Presidio and NER models, with a fake-data + generator for building labelled datasets.
+ +diff --git a/src/pages/index.astro b/src/pages/index.astro index fb1d5e4..db406ba 100644 --- a/src/pages/index.astro +++ b/src/pages/index.astro @@ -5,6 +5,8 @@ import { getCollection } from "astro:content"; const githubOrg = "https://github.com/data-privacy-stack"; const presidioDocs = "https://presidio.dataprivacystack.org"; const presidioRepo = "https://github.com/data-privacy-stack/presidio"; +const presidioResearchDocs = "https://presidio-research.dataprivacystack.org"; +const presidioResearchRepo = "https://github.com/data-privacy-stack/presidio-research"; const mvgRepo = "https://github.com/data-privacy-stack/MVG"; const discordUrl = "https://discord.gg/MewtBGFquB"; const contactEmail = "contact@dataprivacystack.org"; @@ -198,7 +200,8 @@ const posts = (await getCollection("docs"))
The Data Privacy Stack is a community-led home for open, transparent tools that help engineers handle private data responsibly - starting with - Presidio for PII detection and anonymization, with room to grow. + Presidio for PII detection and anonymization and + Presidio Research for evaluating detection models, with room to grow.
Evaluate PII detection models and generate synthetic PII data - a + framework for benchmarking Presidio and NER models, with a fake-data + generator for building labelled datasets.
+ +The stack is growing. Want to propose or contribute a project? @@ -352,6 +366,8 @@ const posts = (await getCollection("docs")) Presidio docs Presidio on GitHub Presidio on PyPI + Presidio Research docs + Presidio Research on GitHub