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Mutation-Based Adversarial Attacks on Neural Text Detectors
Neural text detectors aim to decide the characteristics that distinguish neural (machine-generated) from human texts.
A Mutation-based Text Generation for Adversarial Machine Learning Applications
Many natural language related applications involve text generation, created by humans or machines.
Synthetic Text Detection: Systemic Literature Review
Within the text analysis and processing fields, generated text attacks have been made easier to create than ever before.
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