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AI Security: From 2018 to 2025, A Revolution in Threats (Part 1/3)
The emergence of LLMs has radically transformed the AI security landscape. A look back at seven years of lightning-fast evolution.
agraveline1
Oct 302 min read
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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...
Paul Irolla
Apr 13, 202011 min read
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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...
Paul Irolla
Dec 23, 20193 min read
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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.
GREGORY CHATEL
Sep 24, 20198 min read
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