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This is a technique where AI models are deliberately exposed to tricky, misleading inputs during training to make them more robust. By learning to handle these adversarial examples, the AI becomes better at resisting manipulation.
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This is a technique where AI models are deliberately exposed to tricky, misleading inputs during training to make them more robust. By learning to handle these adversarial examples, the AI becomes better at resisting manipulation.