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privfp-experiments

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Background
Setup
Open LLMs (Generate)
Open Extraction (Structure)
Standardisation (Structure)
(Py)CorrectMatch (Scorer)
SHAP (Explainer)

This is an experimental repository and is a work in progress.

Privacy Fingerprint

privfp-experiments

Home
Background
Background
Setup
Setup
Open LLMs (Generate)
Open LLMs (Generate)
Open Extraction (Structure)
Open Extraction (Structure)
- Open-source Named-Entity Recognition Models
- De-identification Methods
Standardisation (Structure)
Standardisation (Structure)
- Standardising Entity Types and their Values
- Standardising with Knowledge Graphs
(Py)CorrectMatch (Scorer)
(Py)CorrectMatch (Scorer)
- What is Correct Match?
- How does Correct Match Work?
SHAP (Explainer)
SHAP (Explainer)

1. Background

This section provides background on the Privacy Fingerprint (PrivFp) project, including a decision log and useful links.

PrivFp Background

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