CertiFair: A Framework for Certified Global Fairness of Neural Networks. (arXiv:2205.09927v1 [cs.LG])

We consider the problem of whether a Neural Network (NN) model satisfies
global individual fairness. Individual Fairness suggests that similar
individuals with respect to a certain task are to be treated similarly by the
decision model. In this work, we have two main objectives. The first is to
construct a verifier which checks whether the fairness property holds for a
given NN in a classification task or provide a counterexample if it is
violated, i.e., the model is fair if …

arxiv fairness framework global networks neural networks