301 citations · 1.5k across the 70 of their papers we have counts for
7 papers · 1 filter
DeepBeam: Deep Waveform Learning for Coordination-Free Beam Management in mmWave Networks
Michele Polese, Francesco Restuccia, Tommaso Melodia
Highly directional millimeter wave (mmWave) radios need to perform beam management to establish and maintain reliable links. To do so, existing solutions mostly rely on explicit co…
DeepFIR: Addressing the Wireless Channel Action in Physical-Layer Deep Learning
Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka +3
Deep learning can be used to classify waveform characteristics (e.g., modulation) with accuracy levels that are hardly attainable with traditional techniques. Recent research has d…
Hacking the Waveform: Generalized Wireless Adversarial Deep Learning
Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka +4
This paper advances the state of the art by proposing the first comprehensive analysis and experimental evaluation of adversarial learning attacks to wireless deep learning systems…
PolymoRF: Polymorphic Wireless Receivers Through Physical-Layer Deep Learning
Francesco Restuccia, Tommaso Melodia
Today's wireless technologies are largely based on inflexible designs, which makes them inefficient and prone to a variety of wireless attacks. To address this key issue, wireless…
Sl-EDGE: Network Slicing at the Edge
Salvatore D'Oro, Leonardo Bonati, Francesco Restuccia +3
Network slicing of multi-access edge computing (MEC) resources is expected to be a pivotal technology to the success of 5G networks and beyond. The key challenge that sets MEC slic…
My SIM is Leaking My Data: Exposing Self-Login Privacy Breaches in Smartphones
Andrea Coletta, Gaia Maselli, Mauro Piva +2
We expose a new security leak for smartphone users, which allows to stole user personal data by accessing the mobile operator user page when auto-login is employed. We show how any…
Deep Learning at the Physical Layer: System Challenges and Applications to 5G and Beyond
Francesco Restuccia, Tommaso Melodia
The unprecedented requirements of the Internet of Things (IoT) have made fine-grained optimization of spectrum resources an urgent necessity. Thus, designing techniques able to ext…