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The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security
Adversarial Machine Learning (AML) represents the ability to disrupt Machine Learning (ML) algorithms through a range of methods that broadly exploit the architecture of deep learning optimisation.
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