DynaHug trains an OCSVM on dynamic runtime behaviors of benign PTMs and achieves up to 44% higher F1-score than static, dynamic, and LLM-based baselines on over 25,000 models.
https://huggingface.co/docs/hub/ en/security-jfrog(2025), hugging Face documentation, accessed: 2025-10-11
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Malicious ML Model Detection by Learning Dynamic Behaviors
DynaHug trains an OCSVM on dynamic runtime behaviors of benign PTMs and achieves up to 44% higher F1-score than static, dynamic, and LLM-based baselines on over 25,000 models.