PhD student, University of Maryland, College Park
1 paper at NeurIPS 2025
We propose adversarial paraphrasing: a training-free, transferable attack that universally humanizes AI-generated text by using an off-the-shelf LLM as a paraphraser, guided by an AI text detector.
