2 papers
cs.CL2026
DAMASHA: Detecting AI in Mixed Adversarial Texts via Segmentation with Human-interpretable Attribution
L. D. M. S. Sai Teja, N. Siva Gopala Krishna, Ufaq Khan +2
In the age of advanced large language models (LLMs), the boundaries between human and AI-generated text are becoming increasingly blurred. We address the challenge of segmenting mi…
cs.CR2025
Modeling the Attack: Detecting AI-Generated Text by Quantifying Adversarial Perturbations
Lekkala Sai Teja, Annepaka Yadagiri, Sangam Sai Anish +2
The growth of highly advanced Large Language Models (LLMs) constitutes a huge dual-use problem, making it necessary to create dependable AI-generated text detection systems. Modern…