adversarial text generation
"Adversarial text generation" refers to the process of using machine learning techniques to create text that is designed to deceive or manipulate human readers or automated systems, such as chatbots or spam filters. This involves training models to generate text that appears legitimate and natural but contains subtle modifications or crafted patterns with the intention of causing a specific effect, such as persuading or confusing readers, bypassing security measures, or disseminating misinformation.
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