The Kerimov-Alekberli model uses KL divergence on a Riemannian manifold with a Fisher-derived threshold and the Landauer principle to treat adversarial perturbations as measurable physical work for real-time AI system stability.
Figure 1: Real-time KL divergenceDKL(t)(blue line) and dynamic thresholdδ(t)(red dashed line) on the NSL-KDD test set
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The Kerimov-Alekberli Model: An Information-Geometric Framework for Real-Time System Stability
The Kerimov-Alekberli model uses KL divergence on a Riemannian manifold with a Fisher-derived threshold and the Landauer principle to treat adversarial perturbations as measurable physical work for real-time AI system stability.