Author

S. Romano

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#small language model Preprint Oct 2026

From Billion-Scale to Million-Scale Language Models: Operational Capabilities for Embedded Post-Exploitation

Although the evaluated models remain too computationally demanding for widespread deployment in contemporary malware, rapid progress in compact models may reduce this barrier and help anticipate AI-assisted malware and inform future countermeasures.

Gabriel Hortea, S. P. Romano, Juan Tapiador et al. · 0 citations

Jul 2026

ARB: A Matched Authorship-Rewriting Benchmark Dataset for AI-Text Detector Evaluation

Results show that detector performance measured on the conventional human-vs-LLM benchmark does not transfer to human-authored text revised by an LLM, even though the same detectors remain largely robust to LLM-only rewriting.

G. Perrone, S. Romano · arXiv.org · 0 citations