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2020 – today
- 2025
[j3]Giulio Rossolini, Fabio Brau
, Alessandro Biondi, Battista Biggio, Giorgio C. Buttazzo:
Exploiting edge features for transferable adversarial attacks in distributed machine learning. Internet Things 34: 101795 (2025)- [i9]Yang Tian, Fabio Brau, Giulio Rossolini, Giorgio C. Buttazzo, Hao Meng:
Video Deblurring by Sharpness Prior Detection and Edge Information. CoRR abs/2501.12246 (2025) - [i8]Giulio Rossolini, Fabio Brau, Alessandro Biondi, Battista Biggio, Giorgio C. Buttazzo:
Exploiting Edge Features for Transferable Adversarial Attacks in Distributed Machine Learning. CoRR abs/2507.07259 (2025) - [i7]Giorgio Piras, Qi Zhao, Fabio Brau, Maura Pintor, Christian Wressnegger, Battista Biggio:
S2AP: Score-space Sharpness Minimization for Adversarial Pruning. CoRR abs/2510.18381 (2025) - [i6]Giorgio Piras, Raffaele Mura, Fabio Brau, Luca Oneto, Fabio Roli, Battista Biggio:
SOM Directions are Better than One: Multi-Directional Refusal Suppression in Language Models. CoRR abs/2511.08379 (2025) - [i5]Srishti Gupta, Riccardo Balia, Daniele Angioni, Fabio Brau, Maura Pintor, Ambra Demontis, Alessandro Sebastian, Salvatore M. Carta, Fabio Roli, Battista Biggio:
Out-of-Distribution Detection for Continual Learning: Design Principles and Benchmarking. CoRR abs/2512.19725 (2025) - 2024
- [c5]Bernd Prach, Fabio Brau, Giorgio C. Buttazzo, Christoph H. Lampert:
1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness. CVPR 2024: 24574-24583 - 2023
- [j2]Piercosma Bisconti, Davide Orsitto, Federica Fedorczyk, Fabio Brau, Marianna Capasso, Lorenzo De Marinis, Hüseyin Eken, Federica Merenda, Mirko Forti, Marco Pacini, Claudia Schettini:
Maximizing team synergy in AI-related interdisciplinary groups: an interdisciplinary-by-design iterative methodology. AI Soc. 38(4): 1443-1452 (2023) - [j1]Fabio Brau, Giulio Rossolini, Alessandro Biondi, Giorgio C. Buttazzo:
On the Minimal Adversarial Perturbation for Deep Neural Networks With Provable Estimation Error. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5038-5052 (2023) - [c4]Fabio Brau, Giulio Rossolini, Alessandro Biondi, Giorgio C. Buttazzo:
Robust-by-Design Classification via Unitary-Gradient Neural Networks. AAAI 2023: 14729-14737 - [c3]Giulio Rossolini, Federico Nesti, Fabio Brau, Alessandro Biondi, Giorgio C. Buttazzo:
Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis. AAAI 2023: 15064-15072 - [i4]Bernd Prach, Fabio Brau, Giorgio C. Buttazzo, Christoph H. Lampert:
1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness. CoRR abs/2311.16833 (2023) - 2022
- [i3]Fabio Brau, Giulio Rossolini, Alessandro Biondi, Giorgio C. Buttazzo:
On the Minimal Adversarial Perturbation for Deep Neural Networks with Provable Estimation Error. CoRR abs/2201.01235 (2022) - [i2]Giulio Rossolini, Federico Nesti, Fabio Brau, Alessandro Biondi, Giorgio C. Buttazzo:
Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation Analysis. CoRR abs/2203.07341 (2022) - [i1]Fabio Brau, Giulio Rossolini, Alessandro Biondi, Giorgio C. Buttazzo:
Robust-by-Design Classification via Unitary-Gradient Neural Networks. CoRR abs/2209.04293 (2022) - 2021
- [c2]Tommaso Cucinotta, Giacomo Lanciano, Antonio Ritacco, Fabio Brau, Filippo Galli, Vincenzo Iannino, Marco Vannucci, Antonino Artale, João Barata, Enrica Sposato:
Forecasting Operation Metrics for Virtualized Network Functions. CCGRID 2021: 596-605 - 2020
- [c1]Giacomo Lanciano, Antonio Ritacco, Fabio Brau, Tommaso Cucinotta, Marco Vannucci, Antonino Artale, João Barata, Enrica Sposato:
Using Self-Organizing Maps for the Behavioral Analysis of Virtualized Network Functions. CLOSER (Selected Papers) 2020: 153-177
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