5 citations · 5 across the 1 of their papers we have counts for
3 papers
IMMENSE: Inductive Multi-perspective User Classification in Social Networks
Francesco Benedetti, Antonio Pellicani, Gianvito Pio +1
Online social networks increasingly expose people to users who propagate discriminatory, hateful, and violent content. Young users, in particular, are vulnerable to exposure to suc…
DNS-GT: A Graph-based Transformer Approach to Learn Embeddings of Domain Names from DNS Queries
Massimiliano Altieri, Ronan Hamon, Roberto Corizzo +2
Network intrusion detection systems play a crucial role in the security strategy employed by organisations to detect and prevent cyberattacks. Such systems usually combine pattern…
Multi-view Learning for the Identification of Risky Users in Dynamic Social Networks
Francesco Benedetti, Antonio Pellicani, Gianvito Pio +1
Technological progress in the last few decades has granted an increasing number of people access to social media platforms such as Facebook, X (formerly Twitter), and Instagram. Co…