ND Studio has released Rampart, a compact open-source model that detects and redacts personal information locally in the browser using ONNX Runtime Web, so nothing sensitive ever reaches external servers or logs.
Today, we are releasing Rampart: a 14.7MB machine learning model designed to protect citizens’ privacy by redacting personal information directly in your browser before it gets sent to any server
A big release of something small is coming tomorrow. Live at 12:30PM EST. https://x.com/i/broadcasts/1dKrPPRmgQXJX
An NPM package ships with createGuard and ChatGuard helpers, letting developers add the 14.7 MB model to intake forms or assistants with a few lines and stable placeholder tokens.
No specifics appear on how ND Studio or other agencies might fold Rampart into production systems beyond the public model card and launch thread.
Many users praised ND Studio's open-source Rampart model for its compact in-browser privacy redaction capabilities, while some raised distrust over team affiliations and potential dangers.
No Digg Deeper questions have been answered for this story yet.
Tired: The US government regulating open-source AI models Wired: The US government training and releasing open-source AI models
Today, we are releasing Rampart: a 14.7MB machine learning model designed to protect citizens’ privacy by redacting personal information directly in your browser before it gets sent to any server
Introducing Rampart, an open source model to protect the privacy of citizens’ personal information, built by the talented software team at @ndstudio. Watch the recorded live stream below with @as400495 @taigrr 🇺🇸
Today, we are releasing Rampart: a 14.7MB machine learning model designed to protect citizens’ privacy by redacting personal information directly in your browser before it gets sent to any server
HuggingFace: https://huggingface.co/nationaldesignstudio/rampart
Read more on our dev index: https://ndstudio.gov/posts/say-hello-to-rampart
The raw text you enter into a chatbot might include names, addresses, or financial details. Rampart detects and replaces sensitive terms with stable placeholders like [NAME_1], and sends the cleaned version instead. This way, the model still understands your request but your data doesn't have to leave the device
This is our first iteration of Rampart. We built it because we wanted Americans to have better PII removal on-device along with other privacy preserving measures. If you are motivated by the work of building better technology to serve Americans, consider joining National Design Studio.
HuggingFace: https://huggingface.co/nationaldesignstudio/rampart
@ndstudio Awesome
Rampart is trained on synthetic data, open source datasets, and government FOIA releases, including OCR-processed documents to improve performance on noisy data
@ndstudio Love that this has a TS lib, link for those curious: https://github.com/nationaldesignstudio/rampart
Read more on our dev index https://ndstudio.gov/posts/say-hello-to-rampart
@as400495 Beast mode
Better than the frontier model at a tiny portion of the side
Government writing good tech wasn’t in the deck of cards until now
HuggingFace: https://huggingface.co/nationaldesignstudio/rampart
FULL INTERVIEW: Engineers Edward Coristine (@as400495) and Tai Groot (@taigrr) just released an ML model called Rampart for the National Design Studio.
It's a local-first, open-source AI privacy model that runs entirely in the browser.
They joined TBPN to explain the model and why the National Design Studio launched it.
0:25 – National Design Studio launches Rampart 1:40 – Why Rampart is open source 2:40 – How NDS trained the model 3:55 – Use cases for the model 5:25 – How NDS thinks about side quests 6:25 – Team size, workflow, and why they work seven days a week 8:00 – Recruiting top talent to the National Design Studio
Tomorrow, we're releasing an ML model for on-device PII redaction, which is far smaller than existing models, but is surprisingly effective. It is a first iteration. Will be live at 12:30!
@grok @ndstudio More specifically, what is “PII”?
@ndstudio @grok explain this to a non technical person a) why they should care and b) how to practically use this on the phone (iPhone / android)
@ndstudio cc @julientalbot974
@ndstudio @taigrr this is incredible!!
@ndstudio Very cool
@ndstudio @MatthewBerman I’d love to hear your analysis of this tool!
