3 papers
cs.NI2026
Data-driven mitigation of catastrophic forgetting in dynamic physical layer attack detection
Aleksandra Knapińska, Marija Furdek
Optical networks are critical infrastructure that underpins global communications, and detecting security breaches that jeopardize them is essential to maintaining worldwide connec…
cs.LG2026
Variational Autoencoder Domain Adaptation for Cross-System Generalization in ML-Based SOP Monitoring
Leyla Sadighi, Stefan Karlsson, Carlos Natalino +7
Machine learning (ML) models trained to detect physical-layer threats on one optical fiber system often fail catastrophically when applied to a different system, due to variations…
cs.CR2025
Explainable and Resilient ML-Based Physical-Layer Attack Detectors
Aleksandra Knapińska, Marija Furdek
Detection of emerging attacks on network infrastructure is a critical aspect of security management. To meet the growing scale and complexity of modern threats, machine learning (M…