2 papers
cs.LG2025
Contrastive Representation Modeling for Anomaly Detection
Willian T. Lunardi, Abdulrahman Banabila, Dania Herzalla +1
Distance-based anomaly detection methods rely on compact in-distribution (ID) embeddings that are well separated from anomalies. However, conventional contrastive learning strategi…
cs.NI2025
Graph Neural Networks for Jamming Source Localization
Dania Herzalla, Willian T. Lunardi, Martin Andreoni
Graph-based learning provides a powerful framework for modeling complex relational structures; however, its application within the domain of wireless security remains significantly…