LESSEN DATA ACCESS AND GOVERNANCE OBSTACLES

Informazioni relative al progetto

LAGO

ID dell’accordo di sovvenzione: 101073951

DOI

10.3030/101073951

Progetto chiuso

Data della firma CE 19 Luglio 2022

Data di avvio 1 Novembre 2022

Data di completamento 30 Aprile 2025

Finanziato da

• Civil Security for Society

Costo totale

€ 7 379 298,75

Contributo UE

€ 6 489 798,75

Coordinato da

ENGINEERING - INGEGNERIA INFORMATICA SPA
Italy

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

Documents, reports (4)

Dissemination and communication plan, toolkit and report

This deliverable will report on the communication and dissemination plan for the duration of the project

Dissemination and communication plan, toolkit and report - Final

This deliverable will report on the communication and dissemination plan for the duration of the project.

Sustainability and exploitation plan

Report on sustainability models for the FCT RDE and exploitation of project results.

Consensus Report on FCT Research Landscape and Barriers for Data Sharing

Report on the FCT research data landscape in terms of current practices, tools, gaps, and barriers for data sharing.

Pubblicazioni

Conference proceedings (8)

Building a Data Space for the Public Security Domain using Smart Contracts

Autori: Roman Karl, Valentina Mazzonello, Bernardo Pacheco, Joao Silveira, Sven Schlarb, Veronika Siska, Axel Weissenfeld
Pubblicato in: The Fourth Intelligent Cybersecurity Conference (ICSC2024), 2024
Editore: IEEEXplore
DOI: 10.5281/ZENODO.14968687

3D-COCO: EXTENSION OF MS-COCO DATASET FOR SCENE UNDERSTANDING AND 3D RECONSTRUCTION

Autori: Bideaux Maxence, Phe Alice, Chaouch Mohamed, Luvison Bertrand, Pham Quoc-Cuong
Pubblicato in: IEEE International Conference on Image Processing (ICIP), 2024
Editore: IEEE DataPort
DOI: 10.21227/ezyk-gf77

Securing multimedia-based personal data: towards a methodology for automated anonymization risk assessment seeking GDPR compliance

Autori: Aramburu, Mikel; Redó, David; García-Castaño, Jorge
Pubblicato in: Artificial Intelligence for Security and Defence Applications II, 2024, ISSN 0277-786X
Editore: SPIE
DOI: 10.5281/ZENODO.15318904

Can Human Attribute Segmentation be More Robust to Operational Contexts Without New Labels?

Autori: Hejer Ammar; Angelique Loesch; Corentin Vannier; Romaric Audigier
Pubblicato in: 2023 IEEE International Conference on Image Processing (ICIP), 2023
Editore: IEEE
DOI: 10.1109/ICIP49359.2023.10222300

FedLID: Self-Supervised Federated Learning for Leveraging Limited Image Data

Autori: Psaltis, Athanasios; Kastellos, Anestis; Patrikakis, Charalampos Z.; Daras, Petros
Pubblicato in: ICCV2023, 2023, ISSN 1803-7232
Editore: CVF
DOI: 10.1109/ICCVW60793.2023.00111

FedRCIL: Federated Knowledge Distillation for Representation based Contrastive Incremental Learning

Autori: Athanasios Psaltis, Christos Chatzikonstantinou, Charalampos Z. Patrikakis, Petros Daras;
Pubblicato in: ICCV2023, 2023
Editore: CVF
DOI: 10.1109/ICCVW60793.2023.00371

A Risk Assessment and Legal Compliance Framework for Supporting Personal Data Sharing with Privacy Preservation for Scientific Research

Autori: Christos Baloukas, Lazaros Papadopoulos, Kostas Demestichas, Axel Weissenfeld, Sven Schlarb, Mikel Aramburu, David Redó, Jorge García, Seán Gaines, Thomas Marquenie, Ezgi Eren, Irmak Erdogan Peter
Pubblicato in: ARES '24: Proceedings of the 19th International Conference on Availability, Reliability and Security, Numero 184, 2024, ISBN 9798400717185
Editore: Association for Computing Machinery
DOI: 10.1145/3664476.3670878

A Generative Adversarial Network (GAN) Solution for Synthetically Generated Botnet Attacks Data Samples

Autori: Peppes, Nikolaos; Alexakis, Theodoros; Daskalakis, Emmanouil; Adamopoulou, Evgenia; Demestichas, Konstantinos
Pubblicato in: Security and Defense 2023 Conference, 2023
Editore: RISE-SD 2023
DOI: 10.5281/zenodo.10254782

Book chapters (1)

A Generative Adversarial Network (GAN) Solution for Synthetically Generated Botnet Attack Data Samples

Autori: Nikolaos Peppes, Theodoros Alexakis, Emmanouil Daskalakis, Evgenia Adamopoulou, Konstantinos Demestichas
Pubblicato in: Security Informatics and Law Enforcement, Paradigms on Technology Development for Security Practitioners, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-62083-6_25

Peer reviewed articles (1)

Malware Image Generation and Detection Method Using DCGANs and Transfer Learning

Autori: Nikolaos Peppes; Theodoros Alexakis; Emmanouil Daskalakis; Konstantinos Demestichas; Evgenia Adamopoulou
Pubblicato in: IEEE Access, Numero 11, 2023, ISSN 2169-3536
Editore: IEEE
DOI: 10.1109/ACCESS.2023.3319436

Thesis and dissertations (1)

Exploring the use of synthetic data in the public sector: a framework and case study based on the example of the Estonian Police and Border Guard Board

Autori: Etti, Paula
Pubblicato in: 2024
Editore: Tallinn University of Technology

Other (2)

Reference Architecture of the EU FCT Trusted Research Data Ecosystem

Autori: Curated by E. La Mattina
Pubblicato in: 2025
Editore: Zenodo
DOI: 10.5281/ZENODO.15236739

Challenges and Recommendations for a Research Data Ecosystem to Support Innovations in the FCT Domain

Autori: Akhgar, Babak; Bayerl, Petra Saskia
Pubblicato in: 2023
Editore: CENTRIC
DOI: 10.5281/zenodo.10261873