ROSSOLINI, GIULIO
ROSSOLINI, GIULIO
Istituto di Telecomunicazioni, Informatica e Fotonica
Attention-Based Real-Time Defenses for Physical Adversarial Attacks in Vision Applications
2024-01-01 Rossolini, Giulio; Biondi, Alessandro; Buttazzo, Giorgio
CARLA-GeAR: A Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Deep Learning Vision Models
2024-01-01 Nesti, Federico; Rossolini, Giulio; D'Amico, Gianluca; Biondi, Alessandro; Buttazzo, Giorgio
Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis
2023-01-01 Rossolini, Giulio; Nesti, Federico; Brau, Fabio; Biondi, Alessandro; Buttazzo, Giorgio
Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks
2022-01-01 Nesti, Federico; Rossolini, Giulio; Nair, Saasha; Biondi, Alessandro; Buttazzo, Giorgio Carlo
Increasing the Confidence of Deep Neural Networks by Coverage Analysis
2022-01-01 Rossolini, Giulio; Biondi, Alessandro; Buttazzo, Giorgio
On the Minimal Adversarial Perturbation for Deep Neural Networks With Provable Estimation Error
2022-01-01 Brau, F.; Rossolini, G.; Biondi, A.; Buttazzo, G.
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving
2023-01-01 Rossolini, Giulio; Nesti, Federico; D'Amico, Gianluca; Nair, Saasha; Biondi, Alessandro; Buttazzo, Giorgio
Robust-by-Design Classification via Unitary-Gradient Neural Networks
2023-01-01 Brau, F.; Rossolini, G.; Biondi, A.; Buttazzo, G.
TrainSim: A Railway Simulation Framework for LiDAR and Camera Dataset Generation
2023-01-01 D’Amico, Gianluca; Marinoni, Mauro; Nesti, Federico; Rossolini, Giulio; Buttazzo, Giorgio; Sabina, Salvatore; Lauro, Gianluigi
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Attention-Based Real-Time Defenses for Physical Adversarial Attacks in Vision Applications | 1-gen-2024 | Rossolini, Giulio; Biondi, Alessandro; Buttazzo, Giorgio | |
| CARLA-GeAR: A Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Deep Learning Vision Models | 1-gen-2024 | Nesti, Federico; Rossolini, Giulio; D'Amico, Gianluca; Biondi, Alessandro; Buttazzo, Giorgio | |
| Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis | 1-gen-2023 | Rossolini, Giulio; Nesti, Federico; Brau, Fabio; Biondi, Alessandro; Buttazzo, Giorgio | |
| Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks | 1-gen-2022 | Nesti, Federico; Rossolini, Giulio; Nair, Saasha; Biondi, Alessandro; Buttazzo, Giorgio Carlo | |
| Increasing the Confidence of Deep Neural Networks by Coverage Analysis | 1-gen-2022 | Rossolini, Giulio; Biondi, Alessandro; Buttazzo, Giorgio | |
| On the Minimal Adversarial Perturbation for Deep Neural Networks With Provable Estimation Error | 1-gen-2022 | Brau, F.; Rossolini, G.; Biondi, A.; Buttazzo, G. | |
| On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving | 1-gen-2023 | Rossolini, Giulio; Nesti, Federico; D'Amico, Gianluca; Nair, Saasha; Biondi, Alessandro; Buttazzo, Giorgio | |
| Robust-by-Design Classification via Unitary-Gradient Neural Networks | 1-gen-2023 | Brau, F.; Rossolini, G.; Biondi, A.; Buttazzo, G. | |
| TrainSim: A Railway Simulation Framework for LiDAR and Camera Dataset Generation | 1-gen-2023 | D’Amico, Gianluca; Marinoni, Mauro; Nesti, Federico; Rossolini, Giulio; Buttazzo, Giorgio; Sabina, Salvatore; Lauro, Gianluigi |