Paul Irolla
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...
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Paul Irolla
Dec 23, 20193 min read
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...
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GREGORY CHATEL
Sep 24, 20198 min read
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.
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Paul Irolla
Sep 20, 201914 min read
Demystifying the Membership Inference Attack
Machine Learning (ML) is currently being integrated in the process of many technological domains, in particular where confidential data...
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