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cs.CL2025
PADBen: A Comprehensive Benchmark for Evaluating AI Text Detectors Against Paraphrase Attacks
Yiwei Zha, Rui Min, Shanu Sushmita
While AI-generated text (AIGT) detectors achieve over 90\% accuracy on direct LLM outputs, they fail catastrophically against iteratively-paraphrased content. We investigate why it…
cs.CR2025
Behind the Mask: Benchmarking Camouflaged Jailbreaks in Large Language Models
Youjia Zheng, Mohammad Zandsalimy, Shanu Sushmita
Large Language Models (LLMs) are increasingly vulnerable to a sophisticated form of adversarial prompting known as camouflaged jailbreaking. This method embeds malicious intent wit…