AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Anomaly detection at the edge requires the deployment of models that achieve competitive performance, while minimizing computational cost and memory footprint. In this article, we investigate the suitability of the Mahalanobis Distance of Reservoir States (MDRS), an unsupervised time-series anomaly detection method, fo...
Modeling stochastic dynamical systems remains a central challenge across disciplines. Incomplete knowledge of nonlinear interactions and state-dependent fluctuations often renders bottom-up approaches ineffective, motivating methods that infer governing equations directly from data. However, parametric models struggle...
This paper presents RobResilience, an implementation of a formal resilience framework for embodied cyber-physical systems in a Webots Simulator (Webots) simulation environment, using a Personal Robot 2 (PR2) robot and Robot Operating System 2 (ROS2), and results confirm that the runtime behaviour of the implementation...
Investigating Behavior Trees (BTs) as an alternative intermediate representation for LLM-based vulnerability detection suggests that BTs can provide a compact and useful structured representation for vulnerability detection with quantized, locally deployable LLMs.
Mechanical AutoDAN is introduced, a probe-guided variant of AutoDAN that replaces full-model fitness evaluation with partial forward passes and probe-based scoring inside a genetic prompt search loop, and it is found that refusal is linearly decodable well before the final layer, indicating that safety-relevant behavio...
This paper claims that an in-depth investigation of the adversarial robustness of NeSy models is necessary and provides the first systematic evaluation of backdoor attacks against NeSy, and shows that while NeSy models are indeed more robust than their neural counterpart on average, their robustness vastly depend on th...
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