2 papers
stat.ME2026
A latent space network model for dynamic neural latent embedding
Riccardo Rastelli, Shizhe Chen
We introduce a novel latent space network model for analyzing multivariate time series of neural spike-train data. The methodology is motivated by an experimental study in mice, wh…
cs.CR2024
Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks
Andrea Venturi, Dario Stabili, Mirco Marchetti
Machine Learning (ML) algorithms have become increasingly popular for supporting Network Intrusion Detection Systems (NIDS). Nevertheless, extensive research has shown their vulner…