2 papers
cs.LG2026
Dual Spatial-Temporal Attribution: Architecture-Aligned Post-Hoc Explainability for Recurrent Graph Anomaly Detection
Iyad Assaad Nekka, Hamida Seba, Khaled Walid Hidouci +1
Deep learning detectors for anomalies in dynamic graphs have reached strong accuracy, yet they remain opaque: when an edge is flagged, the analyst receives a score but no reason. T…
cs.CR2025
CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks
Atmane Ayoub Mansour Bahar, Kamel Soaid Ferrahi, Mohamed-Lamine Messai +2
Advanced Persistent Threats (APTs) represent a significant challenge in cybersecurity due to their sophisticated and stealthy nature. Traditional Intrusion Detection Systems (IDS)…