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, 2019
- 3 min
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, 2019
- 8 min
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, 2019
- 14 min
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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