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://blog.tensorflow.org/2022/09/colabs-pay-as- you-go-offers-more-access-to-powerful-nvidia-compute-for-machine-learning.html (2022), [Accessed 13-11-2025]
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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.