Giulio Rossolini

According to our database, Giulio Rossolini authored at least 25 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning Robustness at Test-Time from a Non-Robust Teacher.

Stefano Bianchettin, Giulio Rossolini, Giorgio C. Buttazzo

CoRR, April, 2026

How Worst-Case Are Adversarial Attacks? Linking Adversarial and Perturbation Robustness.

Giulio Rossolini

CoRR, January, 2026

On the Hidden Objective Biases of Group-based Reinforcement Learning.

Aleksandar Fontana, Marco Simoni, Giulio Rossolini, Andrea Saracino, Paolo Mori

CoRR, January, 2026

Benchmarking the spatial robustness of DNNs via natural and adversarial localized corruptions.

Giulia Marchiori Pietrosanti, Giulio Rossolini, Alessandro Biondi, Giorgio C. Buttazzo

Pattern Recognit., 2026

2025

KGQuest: Template-Driven QA Generation from Knowledge Graphs with LLM-Based Refinement.

Sania Nayab, Marco Simoni, Giulio Rossolini, Andrea Saracino

CoRR, November, 2025

GTPO: Trajectory-Based Policy Optimization in Large Language Models.

Marco Simoni, Aleksandar Fontana, Giulio Rossolini, Andrea Saracino

CoRR, August, 2025

Improving LLM Reasoning for Vulnerability Detection via Group Relative Policy Optimization.

Marco Simoni, Aleksandar Fontana, Giulio Rossolini, Andrea Saracino

CoRR, July, 2025

Video Deblurring by Sharpness Prior Detection and Edge Information.

Yang Tian, Fabio Brau, Giulio Rossolini, Giorgio C. Buttazzo, Hao Meng

CoRR, January, 2025

Exploiting edge features for transferable adversarial attacks in distributed machine learning.

Giulio Rossolini, Fabio Brau, Alessandro Biondi, Battista Biggio, Giorgio C. Buttazzo

Internet Things, 2025

SynDRA: Synthetic Dataset for Railway Applications.

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Research on trustworthy and secure AI at the RETIS Lab, SSSUP.

Giulio Rossolini, Wesam Abbasi, Federico Nesti, Andrea Saracino, Alessandro Biondi, Giorgio C. Buttazzo

Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 2025

Leveraging Knowledge Graphs and LLMs for Structured Generation of Misinformation.

Sania Nayab, Marco Simoni, Giulio Rossolini

Proceedings of the Availability, Reliability and Security, 2025

2024

On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving.

Giulio Rossolini, Federico Nesti, Gianluca D'Amico, Saasha Nair, Alessandro Biondi, Giorgio C. Buttazzo

IEEE Trans. Neural Networks Learn. Syst., December, 2024

CARLA-GeAR: A Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Deep Learning Vision Models.

Federico Nesti, Giulio Rossolini, Gianluca D'Amico, Alessandro Biondi, Giorgio C. Buttazzo

IEEE Trans. Intell. Transp. Syst., August, 2024

Edge-Only Universal Adversarial Attacks in Distributed Learning.

Giulio Rossolini, Tommaso Baldi, Alessandro Biondi, Giorgio C. Buttazzo

CoRR, 2024

Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost.

Sania Nayab, Giulio Rossolini, Giorgio C. Buttazzo, Nicolamaria Manes, Fabrizio Giacomelli

CoRR, 2024

Attention-Based Real-Time Defenses for Physical Adversarial Attacks in Vision Applications.

Giulio Rossolini, Alessandro Biondi, Giorgio C. Buttazzo

Proceedings of the 15th ACM/IEEE International Conference on Cyber-Physical Systems, 2024

2023

TrainSim: A Railway Simulation Framework for LiDAR and Camera Dataset Generation.

Gianluca D'Amico, Mauro Marinoni, Federico Nesti, Giulio Rossolini, Giorgio C. Buttazzo, Salvatore Sabina, Gianluigi Lauro

IEEE Trans. Intell. Transp. Syst., December, 2023

On the Minimal Adversarial Perturbation for Deep Neural Networks With Provable Estimation Error.

Fabio Brau, Giulio Rossolini, Alessandro Biondi, Giorgio C. Buttazzo

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Increasing the Confidence of Deep Neural Networks by Coverage Analysis.

Giulio Rossolini, Alessandro Biondi, Giorgio C. Buttazzo

IEEE Trans. Software Eng., February, 2023

Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis.

Giulio Rossolini, Federico Nesti, Fabio Brau, Alessandro Biondi, Giorgio C. Buttazzo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Robust-by-Design Classification via Unitary-Gradient Neural Networks.

Fabio Brau, Giulio Rossolini, Alessandro Biondi, Giorgio C. Buttazzo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

CARLA-GeAR: a Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Vision Models.

Federico Nesti, Giulio Rossolini, Gianluca D'Amico, Alessandro Biondi, Giorgio C. Buttazzo

CoRR, 2022

Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks.

Federico Nesti, Giulio Rossolini, Saasha Nair, Alessandro Biondi, Giorgio C. Buttazzo

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

in-Car Entertainment via Group-wise Temporary Mobile Social Networking.

Mario G. C. A. Cimino, Antonio Di Tecco, Pierfrancesco Foglia, Raffaele Giannessi, Jacopo Malvatani, Cosimo Antonio Prete, Giulio Rossolini

Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems, 2022