I am Fabio Brau, Ph.D student at Retis Lab (Tecip, Scuola Superiore Sant'Anna).
My research areas concern Safety Of Deep Neural Networks, Robustness and Adversarial Examples.
I studied Mathematics at Pisa University focusing on Numerical Analysis and Optimization Methods.
Fabio Brau
fabio.brau at sssup.it
TECIP
Scuola Superiore Sant'Anna
Pisa, Italy
Publications
Publications on international conference and workshop proceedings- "Forecasting Operation Metrics for Virtualized Network Functions." T.Cucinotta, G.Lanciano, A.Ritacco, F.Brau, F.Galli, V.Iannino, M.Vannucci, A.Artale, J.Barata, E.Sposato. In Proceedings of the 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (IEEE CCGRID 2021), May 10-13, 2021, Melbourne, Victoria, Australia
- "On the Minimal Adversarial Perturbation for Deep Neural Networks With Provable Estimation Error. Fabio Brau, Giulio Rossolini, Alessandro Biondi, Giorgio Buttazzo. IEEE Transactions on Pattern Analysis and Machine Intelligence. August 2022.
- "Maximizing team synergy in AI-related interdisciplinary groups: an interdisciplinary-by-design iterative methodology." Bisconti P, Orsitto D, Fedorczyk F, Brau F, Capasso M, De Marinis L, Eken H, Merenda F, Forti M, Pacini M, Schettini C. AI & SOCIETY. 2022 Jun 28:1-0.
- "Using Self-Organizing Maps for the Behavioral Analysis of Virtualized Network Functions." G.Lanciano, A.Ritacco, F.Brau, T.Cucinotta, M.Vannucci, A.Artale, J.Barata, E.Sposato. In: Ferguson D., Pahl C., Helfert M. (eds) Cloud Computing and Services Science. CLOSER 2020. Communications in Computer and Information Science, vol 1399. Springer, Cham.