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CORDIS

SAFE AND EXPLAINABLE CRITICAL EMBEDDED SYSTEMS BASED ON AI

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan (opens in new window)

Document outlining how data will be managed during the project from internal and external point of view. The DMP will include a table specifying how the data will be exploited, shared for verification and reuse. Updates to this report in m12, m24 and m36

DL safety architectural patterns and platform (opens in new window)

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.

Final exploitation report (opens in new window)

Final update of exploitation plan taking into consideration the results of the evaluation process

Final proofs-of-concept, arguments, and DL components and libraries (opens in new window)

This report will update D3.1 and D3.2 contents with their final state, and include hands-on recommendations for how to specify a DL component including the embedded DNN. Moreover, the report will elaborate on explainability, traceability and robustness for an MVP, and will include a handbook on how to develop DL components for CAIS.

Case study stubbing and early assessment of case study porting (opens in new window)

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 (opens in new window)

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 (opens in new window)

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

Intermediate Exploitation Report (opens in new window)

Joint and individual plans for exploitation updates

Requirements, Success Criteria and platforms (opens in new window)

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 (opens in new window)

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.

Final Platform Technologies report (opens in new window)

Report on the complete platform-related technologies, to be assessed by the case studies.

Case study porting and integration (opens in new window)

Reports on the platform porting and SAFEXPLAIN software stack integration carried out incorporating all features from WP2, WP3, and WP4.

Gender and Equality Committee Report (opens in new window)

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 (opens in new window)

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 (opens in new window)

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.

Intermediate communication and dissemination report (opens in new window)

Communication, dissemination and knowledge transfer activities until month 24 including the open communities and development environments where SAFEXPLAIN results will be disseminated.

Specificability, explainability, traceability, and robustness proof-of-concept and argumentation (opens in new window)

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

Safety concept (opens in new window)

This includes an update of D2.1 and D2.2, joined together in a safety concept prepared for certification authority review. The report includes the results and conclusions of the external safety assessment by certification authority(es).

Interim report on DL components and libraries (opens in new window)

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

Safety guidelines (opens in new window)

This report describes the consolidated safety guidelines as a result of WP2 activities and the main conclusions obtained from the reviews by certification authorities and certification experts. The guidelines include a set of technical solutions amenable to current safety standards and recommendations for future standard improvement and extension

Initial exploitation report (opens in new window)

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

Safety lifecycle considerations (opens in new window)

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).

Final communication and dissemination report (opens in new window)

Communication, dissemination and knowledge transfer activities until month 36 including the open communities and development environments where SAFEXPLAIN results will be disseminated.

Final DL components, libraries and the DL interface (opens in new window)

Provides the final set of libraries, components and the developed platform-dependent optimizations updated in accordance with the feedback received from the case studies.

Publications

Safety-Relevant AI-Based System Robustification with Neural Network Ensembles (opens in new window)

Author(s): Aldomà Coll, Adrià; Brando Guillaumes, Axel; Cazorla Almeida, Francisco Javier; Abella Ferrer, Jaume
Published in: 2024 IEEE 30th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2024, ISBN 979-8-3503-7055-3
Publisher: 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

Author(s): Javier Fernández, Irune Agirre, Jon Perez-Cerrolaza, Lorea Belategi, Ana Adell, Carlo Donzella, Jaume Abella
Published in: CARS@EDCC2024 Workshop - Critical Automotive applications: Robustness & Safety, 2024
Publisher: EDCC

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

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

Retrospective Uncertainties for Deep Models using Vine Copulas (opens in new window)

Author(s): Tagasovska, Natasa; Ozdemir, Firat; Brando Guillaumes, Axel
Published in: Proceedings of Machine Learning Research, 2023, ISSN 2640-3498
Publisher: MLResearchPress
DOI: 10.48550/arxiv.2302.12606

Managing Sources of Uncertainty in Utilizing AI in Development and Deployment of Safety-Critical Autonomous Systems (opens in new window)

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

SAFEXPLAIN: Safe and Explainable Critical Embedded Systems Based on AI (opens in new window)

Author(s): 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
Published in: 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023, ISSN 1558-1101
Publisher: IEEE
DOI: 10.23919/date56975.2023.10137128

Detecting Low-Density Mixtures in High-Quantile Tails for pWCET Estimation (opens in new window)

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

Probabilistic Timing Estimates in Scenarios Under Testing Constraints

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

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

Author(s): Marti Caro, Axel, Brando, Jaume Abella
Published in: ACM transactions on cyber-physical systems, Issue 9, 2025, ISSN 2378-9638
Publisher: Association for Computing Machinery (ACM)

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

Author(s): Martí Caro, Axel Brando, Jaume Abella.
Published in: ERTS2024, 2024
Publisher: ERTS

Differentiating Adversial Attacks from Natural Sensory Anomalies in Object Detection (opens in new window)

Author(s): Robert Lowe, Maria Ulan, Thanh Bui, Gabriele Giordana, Tobia Giani, Francesco Rossi
Published in: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2025, 2025
Publisher: 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

Author(s): Brando, Axel; Serra, Isabel; Mezzetti, Enrico; Cazorla Almeida, Francisco Javier; Abella Ferrer, Jaume
Published 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
Publisher: CEUR Workshop Proceedings

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