FairProof: An Innovative Approach to Certifiable Fairness for Neural Networks

In recent years, the integration of machine learning models in societal applications has surged, raising significant concerns about fairness and transparency.

The FairProof system, an innovative solution, addresses these issues by providing a confidential and certifiable fairness framework for neural networks. This article explores the key components, algorithms, and implications of FairProof, ensuring models are both fair and confidential.

Introduction

Machine learning models, especially neural networks, are i…