A COMPREHENSIVE TRUSTWORTHY FRAMEWORK FOR CONNECTED MACHINE LEARNING AND SECURE INTERCONNECTED AI SOLUTIONS

Información del proyecto

CoEvolution

Identificador del acuerdo de subvención: 101168560

DOI

10.3030/101168560

Fecha de la firma de la CE 6 Julio 2024

Fecha de inicio 1 Noviembre 2024

Fecha de finalización 31 Octubre 2027

Financiado con arreglo a

• Civil Security for Society

Coste total

€ 5 999 688,75

Aportación de la UE

€ 5 999 688,75

Coordinado por

EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON
Greece

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

Conference proceedings (15)

Online Curvature-Aware Replay: Leveraging 2nd Order Information for Online Continual Learning

Autores: Urettini, Edoardo and Carta, Antonio
Publicado en: Proceedings of the 42nd International Conference on Machine Learning, 2025, ISSN 2640-3498
Editor: PMLR

A Comparative Study of Federated Learning Aggregation Strategies under Homogeneous and Heterogeneous Data Distributions

Autores: Antonios Makris, Christos Dousis, Emmanouil Kritharakis, Stavros Bouras, Konstantinos Tserpes
Publicado en: 8th International Workshop on Intelligent Systems for the Internet of Things, 2026
Editor: arxiv/ IEEE Explore
DOI: 10.48550/ARXIV.2605.11010

Efficient Model-Based Purification Against Adversarial Attacks for LiDAR Segmentation

Autores: Alexandros Gkillas, Ioulia Kapsali, Nikos Piperigkos, Aris S. Lalos
Publicado en: 2025 IEEE International Conference on Image Processing, 2025
Editor: IEEE
DOI: 10.48550/ARXIV.2508.19290

Less is more? an ablation study on AutoAttack for adversarial robustness evaluation

Autores: Luca Melis, Luca Scionis, Fabio Brau, Maura Pintor, Battista Biggio
Publicado en: 2025 International Conference on Machine Learning and Cybernetics (ICMLC), 2025
Editor: IEEE
DOI: 10.1109/ICMLC66258.2025.11280165

CoEvolution: A Comprehensive Trustworthy Framework For Connected Machine Learning And Secure Interconnected AI Solutions

Autores: Antonios Makris, Apostolos Fournaris, Anita Aghaie, Ioannis Arakas, Anna Maria Anaxagorou, Ioannis Arapakis, Davide Bacciu, Battista Biggio, Georgios Bouloukakis, Stavros Bouras, Arne Bröring, Antonio Carta, Marco Caselli, Olympia Giannakopoulou, Nikolaos Gkatzios, Alexandros Gkillas, Evangelos Haleplidis, Sotiris Ioannidis, Eleni-Maria Kalogeraki, Panagiotis Karantzias, Emmanouil Kritharakis, Aris Lalos, David Lenk, Stella Markopoulou, Entrit Metai, Andreas Miaoudakis, Haralambos Mouratidis, Jihane Najar, Theodor Panagiotakopoulos, Bernhard Peischl, Maura Pintor, Nikos Piperigkos, Vassilis Prevelakis, Carlos Segura, Georgios Spanoudakis, Orestis Tsirakis, Omar Veledar, Konstantinos Tserpes
Publicado en: 2025 IEEE International Conference on Cyber Security and Resilience (CSR), 2025
Editor: IEEE
DOI: 10.1109/CSR64739.2025.11130091

Improving UWB Multipath Error Correction inTDoA Systems Using TWR-Derived Models

Autores: Phuong Duong, Broering Arne
Publicado en: 15th International Conference on Indoor Positioning and Indoor Navigation, 2025
Editor: IEEE Explore
DOI: 10.1109/IPIN66788.2025.11212961

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking

Autores: Maria Damanaki, Ioulia Kapsali, Nikos Piperigkos, Alexandros Gkillas, Aris S. Lalos
Publicado en: 51st Annual Conference of the IEEE Industrial Electronics Society
Editor: IEEE
DOI: 10.48550/ARXIV.2507.04762

Benchmarking ensemble-based black-box transfer attacks

Autores: Fabio Brau, Maura Pintor, Antonio Emanuele Cinà, Luca Scionis, Luca Oneto, Fabio Roli, Battista Biggio
Publicado en: NEURIPS - 39th Neural Information Processing Systems, 2025
Editor: NEURIPS

Enabling Adversarial Robustness in AI Models through Kubeflow MLOps

Autores: Stavros Bouras, Ioannis Korontanis, Antonios Makris, Konstantinos Tserpes
Publicado en: 1st Workshop on Secure and Intelligent Data Spaces (SIDS 2026), 2026
Editor: IEEE
DOI: 10.48550/ARXIV.2605.15249

Replay-free Online Continual Learning with Self-Supervised MultiPatches

Autores: Giacomo Cignoni, Andrea Cossu, Alexandra Gomez-Villa, Joost van de Weijer, Antonio Carta
Publicado en: 2025
Editor: arXiv
DOI: 10.48550/ARXIV.2502.09140

SOM Directions Are Better than One: Multi-Directional Refusal Suppression in Language Models

Autores: Giorgio Piras, Raffaele Mura, Fabio Brau, Luca Oneto, Fabio Roli, Battista Biggio
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, Edición 40, 2026, ISSN 2374-3468
Editor: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V40I39.40551

A Comparative Analysis of Active Learning Strategies for Android Malware Detection

Autores: Cristian Manca, Luca Minnei, Maura Pintor, Fabio Brau, Battista Biggio
Publicado en: International Conference on Machine Learning and Cybernetics, ICMLC 2025, Bali, Indonesia 12-15 July 2025, 2025
Editor: IEEE
DOI: 10.1109/ICMLC66258.2025.11280195

FedGreed: A Byzantine-Robust Loss-Based Aggregation Method for Federated Learning

Autores: Emmanouil Kritharakis, Antonios Makris, Dusan Jakovetic, Konstantinos Tserpes
Publicado en: 2025 3rd International Conference on Federated Learning Technologies and Applications (FLTA), 2025
Editor: IEEE
DOI: 10.1109/FLTA67013.2025.11336535

Robust Federated Learning under Adversarial Attacks via Loss-Based Client Clustering

Autores: Emmanouil Kritharakis, Antonios Makris, Dusan Jakovetic, Konstantinos Tserpes
Publicado en: WAFL Workshop @ ECML-PKDD 2025, 2025
Editor: Springer

CLA: Latent Alignment for Online Continual Self-Supervised Learning

Autores: Giacomo Cignoni, Andrea Cossu, Alexandra Gomez-Villa, Joost van de Weijer, Antonio Carta
Publicado en: Proceedings of The 4th Conference on Lifelong Learning Agents, 2025, ISSN 2640-3498
Editor: PMLR
DOI: 10.48550/ARXIV.2507.10434

Peer reviewed articles (4)

On the robustness of adversarial training against uncertainty attacks

Autores: Emanuele Ledda, Giovanni Scodeller, Daniele Angioni, Giorgio Piras, Antonio Emanuele Cinà, Giorgio Fumera, Battista Biggio, Fabio Roli
Publicado en: Pattern Recognition, Edición 172, 2026, ISSN 0031-3203
Editor: Elsevier BV
DOI: 10.1016/J.PATCOG.2025.112519

Diffusion Models for Tabular Data Imputation and Synthetic Data Generation

Autores: Mario Villaizán-Vallelado, Matteo Salvatori, Carlos Segura, Ioannis Arapakis
Publicado en: ACM Transactions on Knowledge Discovery from Data, 2025, ISSN 1556-4681
Editor: ACM
DOI: 10.1145/374243

Pattern Recognition

Autores: Srishti Gupta , Daniele Angioni, Maura Pintor, Ambra Demontis, Lea Schönherr, Fabio Roli, Battista Biggio
Publicado en: Pattern Recognition, 2026, ISSN 0031-3203
Editor: Pergamon Press
DOI: 10.1016/J.PATCOG.2025.112441

Conditional Diffusion Models: A Survey of Techniques, Applications, and Challenges

Autores: Theodor Panagiotakopoulos, Sotiris Kotsiantis, Alexandros Gkillas, Aris S. Lalos
Publicado en: IEEE Access, Edición 13, 2025, ISSN 2169-3536
Editor: IEEE
DOI: 10.1109/ACCESS.2025.3625094