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Fabio Brau
Postdoctoral researcher from January 2024 to September 2024.
Ph.D. student from October 2020 to March 2024.
Research Associate from January 2020 to September 2020.
Publications
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Year:
- YEAR: 2025
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Rossolini, Giulio; Brau, Fabio; Biondi, Alessandro; Biggio, Battista; Buttazzo, Giorgio
Exploiting edge features for transferable adversarial attacks in distributed machine learning
INTERNET OF THINGS (2025)
- YEAR: 2023
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Rossolini, Giulio; Nesti, Federico; Brau, Fabio; Biondi, Alessandro; Buttazzo, Giorgio
Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis
15064 - 15072 Thirty-Seventh AAAI Conference on Artificial Intelligence - Association for the Advancement of Artificial Intelligence, AAAI Press (2023)
Volume nr. :37
Issue nr. :12
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Brau, Fabio; Rossolini, Giulio; Biondi, Alessandro; Buttazzo, Giorgio
Robust-by-Design Classification via Unitary-Gradient Neural Networks
14729 - 14737 AAAI Conference on Artificial Intelligence - Association for the Advancement of Artificial Intelligence, AAAI Press (2023)
Volume nr. :37
- YEAR: 2022
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BISCONTI LUCIDI, Piercosma; Orsitto, D.; Fedorczyk, F.; Brau, F.; Capasso, M.; De Marinis, L.; Eken, H.; Merenda, F.; Forti, M.; Pacini, M.; Schettini, C.
Maximizing team synergy in AI-related interdisciplinary groups: an interdisciplinary-by-design iterative methodology
AI & SOCIETY (2022)
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Brau, F.; Rossolini, G.; Biondi, A.; Buttazzo, G.
On the Minimal Adversarial Perturbation for Deep Neural Networks With Provable Estimation Error
1 - 15 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2022)
- YEAR: 2021
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Lanciano, G.; Ritacco, A.; Brau, F.; Cucinotta, T.; Vannucci, M.; Artale, A.; Barata, J.; Sposato, E.
Using Self-Organizing Maps for the Behavioral Analysis of Virtualized Network Functions
153 - 177 Communications in Computer and Information Science - Springer Science and Business Media Deutschland GmbH (2021)
Volume nr. :127
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Cucinotta, Tommaso; Lanciano, Giacomo; Ritacco, Antonio; Brau, Fabio; Galli, Filippo; Iannino, Vincenzo; Vannucci, Marco; Artale, Antonino; Barata, Joao; Sposato, Enrica
Forecasting Operation Metrics for Virtualized Network Functions
596 - 605 Proceedings of the 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid) - IEEE (2021)
- YEAR: 2023
-
Rossolini, Giulio; Nesti, Federico; Brau, Fabio; Biondi, Alessandro; Buttazzo, Giorgio
Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis
15064 - 15072 Thirty-Seventh AAAI Conference on Artificial Intelligence - Association for the Advancement of Artificial Intelligence, AAAI Press (2023)
Volume nr. :37
Issue nr. :12
-
Brau, Fabio; Rossolini, Giulio; Biondi, Alessandro; Buttazzo, Giorgio
Robust-by-Design Classification via Unitary-Gradient Neural Networks
14729 - 14737 AAAI Conference on Artificial Intelligence - Association for the Advancement of Artificial Intelligence, AAAI Press (2023)
Volume nr. :37
- YEAR: 2021
-
Lanciano, G.; Ritacco, A.; Brau, F.; Cucinotta, T.; Vannucci, M.; Artale, A.; Barata, J.; Sposato, E.
Using Self-Organizing Maps for the Behavioral Analysis of Virtualized Network Functions
153 - 177 Communications in Computer and Information Science - Springer Science and Business Media Deutschland GmbH (2021)
Volume nr. :127
-
Cucinotta, Tommaso; Lanciano, Giacomo; Ritacco, Antonio; Brau, Fabio; Galli, Filippo; Iannino, Vincenzo; Vannucci, Marco; Artale, Antonino; Barata, Joao; Sposato, Enrica
Forecasting Operation Metrics for Virtualized Network Functions
596 - 605 Proceedings of the 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid) - IEEE (2021)
- YEAR: 2025
-
Rossolini, Giulio; Brau, Fabio; Biondi, Alessandro; Biggio, Battista; Buttazzo, Giorgio
Exploiting edge features for transferable adversarial attacks in distributed machine learning
INTERNET OF THINGS (2025)
- YEAR: 2022
-
BISCONTI LUCIDI, Piercosma; Orsitto, D.; Fedorczyk, F.; Brau, F.; Capasso, M.; De Marinis, L.; Eken, H.; Merenda, F.; Forti, M.; Pacini, M.; Schettini, C.
Maximizing team synergy in AI-related interdisciplinary groups: an interdisciplinary-by-design iterative methodology
AI & SOCIETY (2022)
-
Brau, F.; Rossolini, G.; Biondi, A.; Buttazzo, G.
On the Minimal Adversarial Perturbation for Deep Neural Networks With Provable Estimation Error
1 - 15 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2022)