MODEXRE Forensic Pipeline Uses SHAP Explainability for Intrusion Detection
Extends XGBoost classifier with SHAP for explainable forensic intrusion detection with chain of custody.
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Stories tagged #explainable-ai
DeepWeave neuro-symbolic NIDS improves low-data detection and provides explanations
DeepWeave combines neural predictions with interpretable rules for robust, label-efficient NIDS.
HAIDL models human-AI notebook interactions as durable data
HAIDL-X middleware for JupyterLab stores prompts, responses, feedback, and provenance and derives behavior measures from traces.
Explainable Rule Mining of IPv6 Extension-Header Presence Patterns from Paired-Vantage Captures
IPv6 Fragment extension-header rules from JAMES captures reflect within-packet co-occurrence, not temporal dynamics.
Self-Verifying Anomaly Detection using Explainable AI for Cybersecurity of DER Networks
ExCYDER framework self-verifies anomaly detection alerts for DER power grids using LightGBM and SHAP, reaching over 98% detection accuracy.
Diffusion TV: Experiencing Diffusion Models through Tangible, Embodied Interaction
Researchers present Diffusion TV, a CRT-based installation where antenna manipulation lets audiences physically experience diffusion model denoising.