COntinous Learning capabilities for funcTional safety Run-time threAts maNagEment in Automotive RISC**-V** based ECU
COLTRANE-V is a PRIN 2022 project (2022HWM3T9, 2023-2025) coordinated by Politecnico di Torino and funded by the Italian Ministry of University and Research (MUR).
The project aims to improve the dependability of automotive ECUs through a continuous learning approach: fault and attack detection together with real-time countermeasures on a RISC-V architecture with an AI accelerator, in collaboration with the University of Catania and the University of Genoa.
Visit the official project website: coltrane-v.github.io
Politecnico di Torino - SMILIES group
Prof. Alessandro Savino LinkedIn
Associate Professor at the Department of Control and Computer Engineering (DAUIN) of Politecnico di Torino and deputy director of the SMILIES group. His research focuses on hardware/software reliability and security for safety-critical systems, approximate computing, and sustainable computing.
🧬 ORCID
📧 alessandro.savino@polito.it
Dr. Luca Mannella LinkedIn
Postdoctoral researcher at the Department of Control and Computer Engineering (DAUIN) of Politecnico di Torino. His research interests include cybersecurity, IoT, and software engineering, with a focus on the security of connected home platforms and automotive systems.
🧬 ORCID
📧 luca.mannella@polito.it
Researcher at the Department of Control and Computer Engineering (DAUIN) of Politecnico di Torino. His research focuses on cybersecurity and privacy in AI, with particular attention to gradient inversion attacks (R-CONV / R-CONV++) and AI-based classification of adversarial attacks and hardware corruptions in the split computing context. He has also contributed to studies on federated learning and privacy-preserving aggregation.
🧬 ORCID
📧 tamer.ahmedeltaras@polito.it
Prof. Maurizio Palesi LinkedIn
Full Professor at the Department of Electrical, Electronic and Computer Engineering (DIEEI) of the University of Catania. His research focuses on the design and optimization of advanced computing architectures, especially multi-core systems and Networks-on-Chip, with attention to performance and energy efficiency.
🧬 ORCID
📧 maurizio.palesi@unict.it
Elio Vinciguerra LinkedIn
Researcher at the Department of Electrical, Electronic and Computer Engineering (DIEEI) of the University of Catania. His research focuses on architectures and tools for reliability and security assessment, including fault injection techniques (for example on gem5) and methods for emerging architectures.
🧬 ORCID
📧 elio.vinciguerra@unict.it
Prof. Alessandro Armando LinkedIn
Full Professor at the Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS) of the University of Genoa. His research focuses on cybersecurity, with particular attention to formal verification of security protocols, vulnerability analysis, and trust management.
🧬 ORCID
📧 alessandro.armando@unige.it
Prof. Luca Verderame LinkedIn
Associate Professor at the Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS) of the University of Genoa. His research focuses on cybersecurity with an emphasis on mobile security (Android), including static and dynamic analysis, testing, and protection techniques for mobile applications.
🧬 ORCID
📧 luca.verderame@unige.it
Prof. Alessio Merlo LinkedIn
Full Professor of Information Processing Systems at the Center for Higher Defence Studies (CASD) in Rome, and adjunct professor at the Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS) of the University of Genoa. His research focuses on cybersecurity with a strong emphasis on mobile security (Android), including static and dynamic analysis, testing, and protection techniques.
🧬 ORCID
📧 alessio.merlo@unige.it
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Experimental Analysis of FreeRTOS Dependability through Targeted Fault Injection Campaigns
arXiv | Presentation -
CHAOS: Controlled Hardware fAult injectOr System for gem5
arXiv
-
Real-time Embedded System Fault Injector Framework for Micro-architectural State Based Reliability Assessment
Journal of Electronic Testing (Springer)
DOI | IRIS -
CANDoSA: A Hardware Performance Counter-Based Intrusion Detection System for DoS Attacks on Automotive CAN bus
IEEE IOLTS 2025
DOI | arXiv | Poster -
AI-based Classification of Intentional vs. Unintentional Corruptions in the Split Computing context
IEEE IOLTS 2025
DOI | IRIS | Presentation -
Uncovering Privacy Vulnerabilities through Analytical Gradient Inversion Attacks
Springer
DOI | arXiv -
An Anomaly Detection Model for RISC-V in Automotive Applications: A Domain-Specific Accelerator Perspective
IEEE PDP 2025
DOI | IEEE Xplore
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R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients
Springer LNCS, WISE 2024
DOI | arXiv | Presentation -
CARACAS: vehiCular ArchitectuRe for detAiled Can Attacks Simulation
IEEE ISCC 2024
DOI | arXiv | Presentation -
A Micro Architectural Events Aware Real-Time Embedded System Fault Injector
IEEE LATS 2024
DOI | Presentation
Public repositories containing code and tools developed by the COLTRANE-V project:
| Repository | Description | Link | Paper |
|---|---|---|---|
| CHAOS | Controlled Hardware fAult injectOr System for gem5 | GitHub | CHAOS (2026) |
| SAFER-V | Real-time Embedded System Fault Injector Framework for RISC-V | GitHub | Real-time Fault Injector (2025) |
| CARACAS | vehiCular ArchitectuRe for detAiled Can Attacks Simulation | GitHub | CARACAS (2024) |
| R-CONV | An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients | GitHub | R-CONV (2024) |
Project Coordinator:
Prof. Alessandro Savino (SMILIES - Politecnico di Torino)
📧 alessandro.savino@polito.it
Website Developer:
Dr. Luca Mannella (SMILIES - Politecnico di Torino)
📧 luca.mannella@polito.it
- Politecnico di Torino (Coordinator)
- University of Catania
- University of Genoa
© 2026 COLTRANE-V. PRIN 2022 project (2022HWM3T9, 2023-2025)
Coordinated by Politecnico di Torino (Turin, Italy) and funded by the Italian Ministry of University and Research (MUR).