Adversarial machine learning: The underrated threat of data poisoning

Most artificial intelligence researchers agree that one of the key concerns of machine learning is adversarial attacks, data manipulation techniques that cause trained models to behave in undesired ways. But dealing with adversarial attacks has become a sort of cat-and-mouse chase, where AI researchers develop new defense techniques and then find ways to circumvent them.
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