Giulio Rossolini

Orcid: 0000-0002-6404-2627

According to our database1, Giulio Rossolini authored at least 12 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
CARLA-GeAR: A Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Deep Learning Vision Models.
IEEE Trans. Intell. Transp. Syst., August, 2024

Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost.
CoRR, 2024

Attention-Based Real-Time Defenses for Physical Adversarial Attacks in Vision Applications.
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.
IEEE Trans. Intell. Transp. Syst., December, 2023

On the Minimal Adversarial Perturbation for Deep Neural Networks With Provable Estimation Error.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Increasing the Confidence of Deep Neural Networks by Coverage Analysis.
IEEE Trans. Software Eng., February, 2023

Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Robust-by-Design Classification via Unitary-Gradient Neural Networks.
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.
CoRR, 2022

On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving.
CoRR, 2022

Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

in-Car Entertainment via Group-wise Temporary Mobile Social Networking.
Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems, 2022


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