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SACRO-ML 1.4.0 documentation

  • Welcome to SACRO-ML
  • What SACRO-ML Supports
  • Installation
  • Examples
  • User Guide
  • Welcome to SACRO-ML
  • What SACRO-ML Supports
  • Installation
  • Examples
  • User Guide

Section Navigation

  • Notebook Examples
    • Safe Decision Tree Notebook
    • Safe Random Forest Notebook
    • Safe Support Vector Machine Notebook
  • Scikit-learn Examples
  • PyTorch Examples
  • Risk Assessment Examples
    • Drug response prediction for cancer patients
    • Risk of cancer prediction for patients with multiple disorders
    • Instance based attacks
  • SafeModel Examples
  • Unsupported Model Examples
  • User Stories
  • Examples
  • Notebook Examples

Notebook Examples#

This section contains interactive Jupyter notebook examples demonstrating how to use SACRO-ML for various machine learning models and scenarios.

  • Safe Decision Tree Notebook
  • Next cell is for developers only:
  • Safe Random Forest Notebook
  • Safe Support Vector Machine Notebook
  • Define Differentially Private version with DP level (approximate)

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Safe Decision Tree Notebook

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