Welcome to the IBM Differential Privacy Library
This is a library dedicated to differential privacy and machine learning. Its purpose is to allow experimentation, simulation, and implementation of differentially private models using a common codebase and building blocks.
diffprivlib.accountant
diffprivlib.mechanisms
diffprivlib.mechanisms.transforms
diffprivlib.tools
diffprivlib.models
- Utilities and general functions
- Validation functions