An overview of machine learning fairness This article introduces machine learning fairness, to give the reader a vision of the whole...

Training a model is costly: collecting a mass of relevant samples, preprocessing data to solve a specific problem, finding an effective...

An adversarial example is a sample of input data which has been modified very slightly in a way to perturb machine learning predictions.

Machine Learning (ML) is currently being integrated in the process of many technological domains, in particular where confidential data...