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CORDIS - EU research results
CORDIS

Trustworthy Artificial Intelligence for Cybersecurity Reinforcement and System Resilience

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 - Initial version (opens in new window)

This document details the established procedures and criteria to guarantee ethics and privacy in all project activities and outcomes, as well as the data management strategy of the project.

AI-driven self-testing and automatic error correction for robustness - Initial version (opens in new window)

The first version of the description of methodology and prototype implementation for automatic correction of robustness related weaknesses and AI boosted symbolic execution-based vulnerability identification algorithms.

AI4CYBER Communication Tools (opens in new window)

This deliverable will cover the set-up of social media channels, templates, flyers and all communication supporting materials. The initial version of the project website will include at least project objectives and contact details. AI4CYBER website will be set-up by TECNALIA and continuously enhanced by all partners to include public downloadable results and links to related news and initiatives.

Publications

Time Series Problems in the Energy Sector (opens in new window)

Author(s): Christos Dalamagkas, Angelos Georgakis, Ioannis Papadopoulos, Kostas Hrissagis-Chrysagis, George Papadakis
Published in: 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW), 2024, ISSN 2473-3490
Publisher: IEEE
DOI: 10.1109/ICDEW61823.2024.00021

Study on Adversarial Attacks Techniques, Learning Methods and Countermeasures - Application to Anomaly Detection. (opens in new window)

Author(s): Anis Bouaziz, Manh-Dung Nguyen, Valeria Valdès, Ana Rosa Cavalli and Wissam Mallouli
Published in: ICSOFT 2023 conference, 2023, ISSN 2184-2833
Publisher: SPRINGER
DOI: 10.5220/0012125100003538

Interpreting Intrusions - The Role of Explainability in AI-based Intrusion Detection Systems (opens in new window)

Author(s): Marek Pawlicki, Aleksandra Pawlicka, Mścisłaẃ Śrutek, Rafal Kozik, Michal Choraś
Published in: Progress on Pattern Classification, Image Processing and Communications. CORES IP&C 2023, 2023, ISBN 978-3-031-41630-9
Publisher: SPRINGER
DOI: 10.1007/978-3-031-41630-9_5

Explainable Artificial Intelligence 101: Techniques, Applications and Challenges (opens in new window)

Author(s): Kurek, W., Pawlicki, M., Pawlicka, A., Kozik, R., Choraś, M
Published in: 19th International Conference on Advanced Intelligent Computing Technology and Applications, 2023, ISBN 978-981-99-4752-2
Publisher: SPRINGER
DOI: 10.1007/978-981-99-4752-2_26

Breaching the Defense: Investigating FGSM and CTGAN Adversarial Attacks on IEC 60870-5-104 AI-enabled Intrusion Detection Systems (opens in new window)

Author(s): Dimitrios Christos Asimopoulos; Panagiotis Radoglou-Grammatikis; Ioannis Makris; Valeri Mladenov; Konstantinos E. Psannis; Sotirios Goudos; Panagiotis Sarigiannidis
Published in: ARES '23: Proceedings of the 18th International Conference on Availability, Reliability and Security, 2023, ISBN 9798400707728
Publisher: ACM
DOI: 10.1145/3600160.3605163

Detection of Physical Adversarial Attacks on Traffic Signs for Autonomous Vehicles (opens in new window)

Author(s): Barbara Villarini, Panagiotis Radoglou-Grammatikis, Thomas Lagkas, Panagiotis Sarigiannidis and Vasileios Argyriou
Published in: 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), 2023, ISSN 2834-8249
Publisher: IEEE
DOI: 10.1109/IAICT59002.2023.10205591

Cybersecurity and Medical Imaging: A Simulation-Based Approach to DICOM Communication (opens in new window)

Author(s): Stylianos Karagiannis, Emmanouil Magkos, Christoforos Ntantogian,Ricardo Cabecinha and Theofanis Fotis
Published in: MDPI Applied sciences, 2023, ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/APP131810072

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