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Unfair biases in Machine Learning: what, why, where and how to obliterate them

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

What is model stealing and why it matters

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

Adversarial examples in deep learning

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

Demystifying the Membership Inference Attack

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