DEPO formulates detector-evasive paraphrasing as a constrained MDP and solves it via Lagrangian primal-dual RL with GRPO-style updates to achieve evasion while satisfying a semantic-preservation constraint.
arXiv preprint arXiv:2305.10847 , year=
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Recursive paraphrasing attacks substantially lower detection rates for multiple AI text detectors with only minor quality loss, while a theoretical analysis ties best-case AUROC to total variation distance between human and AI distributions.
Users in r/isthisAI and r/RealOrAI employ 12 evolving strategies for AI detection that shift with model capabilities and online trends.
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