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The privacy filter is great, but it leaves a gap for non-technical users. Therefore, Dataiku's open source team at 575 Lab has built the Kiji Privacy Proxy. It
by hanneshapke 5mo ago
The privacy filter is great, but it leaves a gap for non-technical users. Therefore, Dataiku's open source team at 575 Lab has built the Kiji Privacy Proxy. It is a complete app (MacOS/Linux/Chrome extension) that uses a fine-tuned DeBERTa model. It acts as a forward proxy, but we also have an experimental transparent proxy setup.
It detects 20+ entities, not just masks them, but also converts them back on the return trip.
The project and the entire ml stack are open source and Apache 2.0 (dataset and model on Huggingface, label review, and ml pipeline setup).
Repo: https://github.com/dataiku/kiji-proxy https://github.com/dataiku/kiji-proxy
Demo: https://youtu.be/txzzY5bU2Ig https://youtu.be/txzzY5bU2Ig