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CORDIS - Risultati della ricerca dell’UE
CORDIS

SAFE AND EXPLAINABLE CRITICAL EMBEDDED SYSTEMS BASED ON AI

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

DL safety architectural patterns and platform (si apre in una nuova finestra)

Provides a consolidated analysis of recurrent AI/DL-safety problems and the definition of a set of DL-safety patterns based on the standards and ongoing initiatives studied in T2.1/T2.2, and tailored to the safe DL execution platform.

Case study stubbing and early assessment of case study porting (si apre in una nuova finestra)

Reports the specifications and the necessary stubbing made in each case study and an assessment on the impact it might have on the behaviour of the application. It also covers a status report on case study porting

Communication and Dissemination Plan (si apre in una nuova finestra)

Description of the communication and dissemination strategy, the activities to be undertaken to achieve this, and KPIs to monitor progress. Dissemination results will be reported in the periodic and final reports.

Initial communication and dissemination report (si apre in una nuova finestra)

Communication, dissemination and knowledge transfer activities until month 12 including the open communities and development environments where SAFEXPLAIN results will be disseminated.

Requirements, Success Criteria and platforms (si apre in una nuova finestra)

Report capturing the case study and FUSA standards requirements, the success criteria set for each milestone of the project, FUSA principles to consider in SAFEXPLAIN, and choices about the platform and the software stack

Exploitation Plan (si apre in una nuova finestra)

Description of the exploitation strategy, the activities to be undertaken to achieve this, and KPIs to monitor progress. Exploitation results and an updated exploitation plan will be provided in the periodic and final reports.

Gender and Equality Committee Report (si apre in una nuova finestra)

Document capturing the gender aspects during the project lifetime with the involvement of all partners. Updates to this report in m24 and m36

Interim Plattform Technologies Report (si apre in una nuova finestra)

This report captures the advancements done in T4.1-T4.4 by MS2. It will provide an assessment of the degree of completion in each of these tasks, and baseline technology where to integrate the case studies.

Project management plan and quality guidelines (si apre in una nuova finestra)

Document that defines the main project procedures (contractual framework, project governance, project monitoring, internal communication, etc.) as well as the standards and quality procedures to be used throughout the project. This handbook will also include a section on Gender Equality guidelines for monitoring and management measures and cohesion activities with the PPP on AI, Data and Robotics and the CSA HORIZON CL4-2021-HUMAN-01-02.

Specificability, explainability, traceability, and robustness proof-of-concept and argumentation (si apre in una nuova finestra)

Reports on (i) proposed AI specifications in correspondence with D2.1, (ii) Trustworthy and explainable AI architecture for dependable DL components and (iii) online safety supervision architecture. Also, it reports early specificability, explainability, traceability, and robustness arguments and requirements

Interim report on DL components and libraries (si apre in una nuova finestra)

Reports on the progress done on the implementation of the DL components and the usage of the framework to train the neural networks. It also covers the report on the low-level optimization libraries for the selected accelerators

Initial exploitation report (si apre in una nuova finestra)

Updated analysis of the exploitation context, business opportunities and exploitable results identifications, based on the requirements gathered at year 1 (m12).

Safety lifecycle considerations (si apre in una nuova finestra)

It establishes the initial selected safety techniques and restrictions to be addressed by WP3 and WP4 in: (i) DL-software specification, design and implementation (T2.1), and (ii) DL-software V&V (T2.2).

Pubblicazioni

Safety-Relevant AI-Based System Robustification with Neural Network Ensembles (si apre in una nuova finestra)

Autori: Aldomà Coll, Adrià; Brando Guillaumes, Axel; Cazorla Almeida, Francisco Javier; Abella Ferrer, Jaume
Pubblicato in: 2024 IEEE 30th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2024, ISBN 979-8-3503-7055-3
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/IOLTS60994.2024.10616095

AI-FSM: Towards Functional Safety Management for Artificial Intelligence-based Critical Systems

Autori: Javier Fernández, Irune Agirre, Jon Perez-Cerrolaza, Lorea Belategi, Ana Adell, Carlo Donzella, Jaume Abella
Pubblicato in: CARS@EDCC2024 Workshop - Critical Automotive applications: Robustness & Safety, 2024
Editore: EDCC

Leveraging image-based transformations to mitigate adversarial attacks in AI-based safety-critical systems

Autori: Marti Carlo, Axel Brando, Jaume Abella
Pubblicato in: 2025 IEEE 31th International Symposium on On-line Testing and Robust System Design (IOLTS), 2025, ISBN 979-8-3315-3334-2
Editore: Institute of Electrical and Electronics Engineers (IEEE)

Retrospective Uncertainties for Deep Models using Vine Copulas (si apre in una nuova finestra)

Autori: Tagasovska, Natasa; Ozdemir, Firat; Brando Guillaumes, Axel
Pubblicato in: Proceedings of Machine Learning Research, 2023, ISSN 2640-3498
Editore: MLResearchPress
DOI: 10.48550/arxiv.2302.12606

Managing Sources of Uncertainty in Utilizing AI in Development and Deployment of Safety-Critical Autonomous Systems (si apre in una nuova finestra)

Autori: Robert Lowe, Maria Ulan, Thanh Hai Bui, Ana Adell, Jokin Labaien, Axel Brando
Pubblicato in: 2025 IEEE 22nd International Conference on Software Architecture Companion (ICSA-C), 2025, ISSN 2768-4288
Editore: IEEE
DOI: 10.1109/ICSA-C65153.2025.00079

SAFEXPLAIN: Safe and Explainable Critical Embedded Systems Based on AI (si apre in una nuova finestra)

Autori: Jaume Abella; Jon Perez; Cristofer Englund; Bahram Zonooz; Gabriele Giordana; Carlo Donzella; Francisco J. Cazorla; Enrico Mezzetti; Isabel Serra; Axel Brando; Irune Agirre; Fernando Eizaguirre; Thanh Hai Bui; Elahe Arani; Fahad Sarfraz; Ajay Balasubramaniam; Ahmed Badar; Ilaria Bloise; Lorenzo Feruglio; Ilaria Cinelli; Davide Brighenti; Davide Cunial
Pubblicato in: 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023, ISSN 1558-1101
Editore: IEEE
DOI: 10.23919/date56975.2023.10137128

Detecting Low-Density Mixtures in High-Quantile Tails for pWCET Estimation (si apre in una nuova finestra)

Autori: Blau Manau, Sergi Vilardell, Isabel Serra, Enrico Mezzetti, Jaume Abella, and Francisco J. Cazorla
Pubblicato in: 37th Euromicro Conference on Real-Time Systems (ECRTS 2025), Numero 335, 2025
Editore: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
DOI: 10.4230/LIPICS.ECRTS.2025.20

Probabilistic Timing Estimates in Scenarios Under Testing Constraints

Autori: Sergi Vilardell; Francesco Rossi; Gabriele Giordana; Isabel Serra; Enrico Mezzetti; Jaume Abella; Francisco J. Cazorla
Pubblicato in: Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025, ISBN 979-8-4007-0629-5
Editore: Association for Computing Machinery (ACM)

Semantic diverse DMR and TMR for high-integrity AI-based function efficiency

Autori: Marti Caro, Axel, Brando, Jaume Abella
Pubblicato in: ACM transactions on cyber-physical systems, Numero 9, 2025, ISSN 2378-9638
Editore: Association for Computing Machinery (ACM)

Software-Only Semantic Diverse Redundancy for High-Integrity AI-Based Functionalities

Autori: Martí Caro, Axel Brando, Jaume Abella.
Pubblicato in: ERTS2024, 2024
Editore: ERTS

Differentiating Adversial Attacks from Natural Sensory Anomalies in Object Detection (si apre in una nuova finestra)

Autori: Robert Lowe, Maria Ulan, Thanh Bui, Gabriele Giordana, Tobia Giani, Francesco Rossi
Pubblicato in: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2025, 2025
Editore: Springer Communications in Computer and Information Science
DOI: 10.5281/ZENODO.17037385

Standardizing the Probabilistic Sources of Uncertainty for the sake of Safety Deep Learning

Autori: Brando, Axel; Serra, Isabel; Mezzetti, Enrico; Cazorla Almeida, Francisco Javier; Abella Ferrer, Jaume
Pubblicato in: Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023, ISSN 1613-0073
Editore: CEUR Workshop Proceedings

Computer (si apre in una nuova finestra)

Autori: Axel Brando; Isabel Serra; Enrico Mezzetti; Francisco J. Cazorla; Jon Perez-Cerrolaza; Jaume Abella
Pubblicato in: Computer, 2023, ISSN 0018-9162
Editore: IEEE
DOI: 10.1109/mc.2023.3236523

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