Giulio Rossolini | Scuola Superiore Sant'Anna

Bio

Giulio is an assistant professor at the Real-Time Systems Laboratory of the Scuola Superiore Sant’Anna in Pisa. He earned a degree in Embedded Computing Systems Engineering, a Master’s Degree jointly offered by the Scuola Superiore Sant’Anna of Pisa and the University of Pisa, in 2020. He received a Ph.D. in Emerging Digital Technologies in 2024, focusing on safety and robustness issues in artificial intelligence algorithms for cyber-physical systems. His current research interests include designing and implementing software tools to enhance the trustworthiness of machine learning algorithms used in computer vision applications and distributed learning-enabled environments.

Publications

D'Amico, Gianluca; Nesti, Federico; Rossolini, Giulio; Marinoni, Mauro; Sabina, Salvatore; Buttazzo, Giorgio

SynDRA: Synthetic Dataset for Railway Applications Open new browser tab

(2025)
Nesti, Federico; Rossolini, Giulio; D'Amico, Gianluca; Biondi, Alessandro; Buttazzo, Giorgio

CARLA-GeAR: A Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Deep Learning Vision Models Open new browser tab

(2024)
Rossolini, Giulio; Biondi, Alessandro; Buttazzo, Giorgio

Attention-Based Real-Time Defenses for Physical Adversarial Attacks in Vision Applications Open new browser tab

(2024)
Rossolini, Giulio; Nesti, Federico; D'Amico, Gianluca; Nair, Saasha; Biondi, Alessandro; Buttazzo, Giorgio

On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving Open new browser tab

(2023)
D’Amico, Gianluca; Marinoni, Mauro; Nesti, Federico; Rossolini, Giulio; Buttazzo, Giorgio; Sabina, Salvatore; Lauro, Gianluigi

TrainSim: A Railway Simulation Framework for LiDAR and Camera Dataset Generation Open new browser tab

(2023)
Rossolini, Giulio; Nesti, Federico; Brau, Fabio; Biondi, Alessandro; Buttazzo, Giorgio

Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis Open new browser tab

(2023)
Brau, F.; Rossolini, G.; Biondi, A.; Buttazzo, G.

Robust-by-Design Classification via Unitary-Gradient Neural Networks Open new browser tab

(2023)
Nesti, Federico; Rossolini, Giulio; Nair, Saasha; Biondi, Alessandro; Buttazzo, Giorgio Carlo

Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks Open new browser tab

(2022)
Rossolini, Giulio; Biondi, Alessandro; Buttazzo, Giorgio

Increasing the Confidence of Deep Neural Networks by Coverage Analysis Open new browser tab

(2022)
Brau, F.; Rossolini, G.; Biondi, A.; Buttazzo, G.

On the Minimal Adversarial Perturbation for Deep Neural Networks With Provable Estimation Error Open new browser tab

(2022)