77 citations · 171 across the 24 of their papers we have counts for
5 papers · 1 filter
NLP-Based Techniques for Cyber Threat Intelligence
Marco Arazzi, Dincy R. Arikkat, Serena Nicolazzo +4
In the digital era, threat actors employ sophisticated techniques for which, often, digital traces in the form of textual data are available. Cyber Threat Intelligence~(CTI) is rel…
A Novel IoT Trust Model Leveraging Fully Distributed Behavioral Fingerprinting and Secure Delegation
Marco Arazzi, Serena Nicolazzo, Antonino Nocera
With the number of connected smart devices expected to constantly grow in the next years, Internet of Things (IoT) solutions are experimenting a booming demand to make data collect…
Label Inference Attacks against Node-level Vertical Federated GNNs
Marco Arazzi, Mauro Conti, Stefanos Koffas +4
Federated learning enables collaborative training of machine learning models by keeping the raw data of the involved workers private. Three of its main objectives are to improve th…
Predicting Tweet Engagement with Graph Neural Networks
Marco Arazzi, Marco Cotogni, Antonino Nocera +1
Social Networks represent one of the most important online sources to share content across a world-scale audience. In this context, predicting whether a post will have any impact i…
Turning Privacy-preserving Mechanisms against Federated Learning
Marco Arazzi, Mauro Conti, Antonino Nocera +1
Recently, researchers have successfully employed Graph Neural Networks (GNNs) to build enhanced recommender systems due to their capability to learn patterns from the interaction b…