Today in Privacy & AI Tooling - introducing a nifty new tool to examine where data goes in open-source apps on  🤗
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Today in Privacy & AI Tooling - introducing a nifty new tool to examine where data goes in open-source apps on  🤗
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HF Spaces have tons (100Ks!) of cool demos leveraging or examining AI systems - and because most of them are OSS we can see exactly how they handle user data 📚🔍
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HF Spaces have tons (100Ks!) of cool demos leveraging or examining AI systems - and because most of them are OSS we can see exactly how they handle user data 📚🔍
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That requires actually reading the code though, which isn't always easy or quick! Good news: code LMs have gotten pretty good at automatic review, so we can offload some of the work - here I'm using 
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That requires actually reading the code though, which isn't always easy or quick! Good news: code LMs have gotten pretty good at automatic review, so we can offload some of the work - here I'm using 
https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct
Qwen/Qwen2.5-Coder-32B-Instruct
model
resource
https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct
 to generate reports and it works pretty OK 🙌
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 to generate reports and it works pretty OK 🙌
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The app works in three stages:
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The app works in three stages:
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1. Download all code files
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1. Download all code files
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2. Use the Code LM to generate a detailed report pointing to code where data is transferred/(AI-)processed (screen 1)
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2. Use the Code LM to generate a detailed report pointing to code where data is transferred/(AI-)processed (screen 1)
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3. Summarize the app's main functionality and data journeys (screen 2)
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3. Summarize the app's main functionality and data journeys (screen 2)
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4. Build a Privacy TLDR with those inputs
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4. Build a Privacy TLDR with those inputs
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It comes with a bunch of pre-reviewed apps/Spaces, great to see how many process data locally or through (private) HF endpoints 🤗
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It comes with a bunch of pre-reviewed apps/Spaces, great to see how many process data locally or through (private) HF endpoints 🤗
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Note that this is a POC, lots of exciting work to do to make it more robust, so:
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Note that this is a POC, lots of exciting work to do to make it more robust, so:
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- try it: 
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- try it: 
https://huggingface.co/spaces/yjernite/space-privacy
yjernite/space-privacy
space
resource
https://huggingface.co/spaces/yjernite/space-privacy
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- reach out to collab: 
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- reach out to collab: 
https://huggingface.co/spaces/yjernite/space-privacy/discussions
yjernite/space-privacy
space
resource
https://huggingface.co/spaces/yjernite/space-privacy/discussions
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Today in Privacy & AI Tooling - introducing a nifty new tool to examine where data goes in open-source apps on  🤗

HF Spaces have tons (100Ks!) of cool demos leveraging or examining AI systems - and because most of them are OSS we can see exactly how they handle user data 📚🔍

That requires actually reading the code though, which isn't always easy or quick! Good news: code LMs have gotten pretty good at automatic review, so we can offload some of the work - here I'm using https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct to generate reports and it works pretty OK 🙌

The app works in three stages:
1. Download all code files
2. Use the Code LM to generate a detailed report pointing to code where data is transferred/(AI-)processed (screen 1)
3. Summarize the app's main functionality and data journeys (screen 2)
4. Build a Privacy TLDR with those inputs

It comes with a bunch of pre-reviewed apps/Spaces, great to see how many process data locally or through (private) HF endpoints 🤗

Note that this is a POC, lots of exciting work to do to make it more robust, so:
- try it: https://huggingface.co/spaces/yjernite/space-privacy 
- reach out to collab: https://huggingface.co/spaces/yjernite/space-privacy/discussions

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