Crafted perturbations designed to deceive AI models, adversarial inputs exploit subtle weaknesses in machine learning systems, causing misclassification or unexpected outputs. Security researchers and attackers use them to test robustness, while developers harden models against manipulation. Industries relying on AI—finance, healthcare, autonomous vehicles—benefit most from understanding and defending against these threats.
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