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 (VEHITS, 2022)

Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks. - Federico Nesti; Giulio Rossolini; Saasha Nair; Alessandro Biondi 001; Giorgio C. Buttazzo (WACV, 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 001; Giorgio C. Buttazzo (CoRR, 2022)

Robust-by-Design Classification via Unitary-Gradient Neural Networks. - Fabio Brau; Giulio Rossolini; Alessandro Biondi 001; Giorgio C. Buttazzo (AAAI, 2023)

Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis. - Giulio Rossolini; Federico Nesti; Fabio Brau; Alessandro Biondi 001; Giorgio C. Buttazzo (AAAI, 2023)

Increasing the Confidence of Deep Neural Networks by Coverage Analysis. - Giulio Rossolini; Alessandro Biondi 001; Giorgio C. Buttazzo (IEEE Trans. Software Eng., 2023)

On the Minimal Adversarial Perturbation for Deep Neural Networks With Provable Estimation Error. - Fabio Brau; Giulio Rossolini; Alessandro Biondi 001; Giorgio C. Buttazzo (IEEE Trans. Pattern Anal. Mach. Intell., 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., 2023)

Attention-Based Real-Time Defenses for Physical Adversarial Attacks in Vision Applications. - Giulio Rossolini; Alessandro Biondi 001; Giorgio C. Buttazzo (ICCPS, 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)

Edge-Only Universal Adversarial Attacks in Distributed Learning. - Giulio Rossolini; Tommaso Baldi; Alessandro Biondi 001; Giorgio C. Buttazzo (CoRR, 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 001; Giorgio C. Buttazzo (IEEE Trans. Intell. Transp. Syst., 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 001; Giorgio C. Buttazzo (IEEE Trans. Neural Networks Learn. Syst., 2024)

Leveraging Knowledge Graphs and LLMs for Structured Generation of Misinformation. - Sania Nayab; Marco Simoni; Giulio Rossolini (ARES (Workshops 4), 2025)

SynDRA: Synthetic Dataset for Railway Applications. - Gianluca D'Amico; Federico Nesti; Giulio Rossolini; Mauro Marinoni; Salvatore Sabina; Giorgio C. Buttazzo (WACV, 2025)

Video Deblurring by Sharpness Prior Detection and Edge Information. - Yang Tian; Fabio Brau; Giulio Rossolini; Giorgio C. Buttazzo; Hao Meng (CoRR, 2025)

Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions. - Giulia Marchiori Pietrosanti; Giulio Rossolini; Alessandro Biondi 001; Giorgio C. Buttazzo (CoRR, 2025)

Improving LLM Reasoning for Vulnerability Detection via Group Relative Policy Optimization. - Marco Simoni; Aleksandar Fontana; Giulio Rossolini; Andrea Saracino (CoRR, 2025)

Exploiting Edge Features for Transferable Adversarial Attacks in Distributed Machine Learning. - Giulio Rossolini; Fabio Brau; Alessandro Biondi 001; Battista Biggio; Giorgio C. Buttazzo (CoRR, 2025)

GTPO: Trajectory-Based Policy Optimization in Large Language Models. - Marco Simoni; Aleksandar Fontana; Giulio Rossolini; Andrea Saracino (CoRR, 2025)