A hybrid physics-neural model (Universal Differential Equation) fits Code Red worm data with lower error than pure ODE or neural baselines, but the result is weakened because the model uses the observed data as an external input during simulation.
Before we knew it: an empirical study of zero-day attacks in the real world,
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Understanding Malware Propagation Dynamics through Scientific Machine Learning
A hybrid physics-neural model (Universal Differential Equation) fits Code Red worm data with lower error than pure ODE or neural baselines, but the result is weakened because the model uses the observed data as an external input during simulation.