Livrables
This deliverable will define the potential ethical concerns related to use of Big Data Machine Learning and AI with regard to investigations concerning child sexual exploitation and abuse material CSEM Related tasks T91
Best Practices on Victim support for LEA first respondersThis report will include best practices on victim support for LEA first responders on CSE. Related task(s): T10.5
Report on Federated Learning strategiesThis deliverable will report on the design and implementation of the Federated Learning strategies Related tasks T53
Legal report v2This deliverable will summarize the legal environment and define the potential legal concerns related to use of Big Data, Machine Learning and AI with regard to investigations concerning child sexual exploitation and abuse material (CSEM). Related task(s): T9.2.
Review Mechanism and ProcedureThis deliverable provides the results of the process of developing the review mechanism as well as the final review procedure and mechanism consisting of the check list, guidelines and instructions. Related task(s): T9.5.
Quality Management guidelinesThis report will include the guidelines and best practices to be implemented by the Consortium to assure the high quality of the project
"Architecture for technical safeguards - ""security and privacy by design"" v2"Architecture for the development of technical safeguards to prevent violations of ethical and legal standards –“ security and privacy by design” has to be implemented. Related task(s): T9.4.
Overall legal and ethical framework v1This deliverable will define the overall legal and ethical framework of the GRACE project Related tasks T93
"Architecture for technical safeguards - ""security and privacy by design"" v1"Architecture for the development of technical safeguards to prevent violations of ethical and legal standards security and privacy by design has to be implemented Related tasks T94
Stakeholder and policy recommendations for addressing online CSEM v2This deliverable will deliver policy recommendations for addressing the creation, distribution and consumption of online CSEM. Related task(s): T10.4.
GRACE sub-committees and Advisory Board's plan and establishmentDescription of structure members and governance policies for the GRACE subcommittees and Advisory Boards
Ethical report v2This deliverable will define the potential ethical concerns related to use of Big Data, Machine Learning and AI with regard to investigations concerning child sexual exploitation and abuse material (CSEM). Related task(s): T9.1.
Legal report v1This deliverable will summarize the legal environment and define the potential legal concerns related to use of Big Data Machine Learning and AI with regard to investigations concerning child sexual exploitation and abuse material CSEM Related tasks T92
Best Practices on Victim support for LEA first responders v1This report will include best practices on victim support for LEA first responders on CSE Related tasks T105
SELP guidelines for GRACEDescription of SELP policies and guidelines as well as a description of the SELP monitoring processes that will be followed during the duration of the project
Innovation Management strategy, guidelines and toolsDescription of the detailed innovation management strategy guidelines and tools to be followed within the duration of the project
Stakeholder and policy recommendations for addressing online CSEM v1This deliverable will deliver policy recommendations for addressing the creation distribution and consumption of online CSEM Related tasks T104
Overall legal and ethical v2 frameworkThis deliverable will define the overall legal and ethical framework of the GRACE project. Related task(s): T9.3.
This deliverable includes the creating setup and maintenance of GRACEs public website social media accounts and the design and acquisition of other dissemination materials Related tasks T101
Publications
Auteurs:
Carofilis, A., Chaves, D., Martínez-Mendoza, A., Fidalgo, E., González-Castro, V., & Alegre, E.
Publié dans:
VIII Jornadas Nacionales de Investigación en Ciberseguridad, 2023
Éditeur:
-
DOI:
10.5281/zenodo.10130421
Auteurs:
Al-Nabki, Wesam; Vasco-Carofilis, Andrés; Díaz-Ocampo, Daniel; Deisy Chaves; Fernández-Robles, Laura; Alegre, Enrique
Publié dans:
5th International Conference on Applications of Intelligent Systems, 2023
Éditeur:
(APPIS 2023)
DOI:
10.5281/zenodo.7990416
Auteurs:
Psaltis, A., Patrikakis, C. Z., & Daras, P.
Publié dans:
European Conference on Computer Vision, 2022
Éditeur:
-
DOI:
10.5281/zenodo.7505951
Auteurs:
Daniel Díaz-Ocampo; Wesam Al-Nabki; Andrés Vasco-Carofilis; Laura Fernández-Robles; Eduardo Fidalgo; Enrique Alegre
Publié dans:
5th International Conference on Applicationsof Intelligent Systems, 2023
Éditeur:
(APPIS 2023)
DOI:
10.5281/zenodo.7923979
Auteurs:
David Montero, Marcos Nieto, Peter Leskovsky, Naiara Aginako
Publié dans:
Proceedings of SITIS 2022, 2023
Éditeur:
IEEE
Auteurs:
Chaves, Deisy; Agarwal, Nancy; Fidalgo, Eduardo; Alegre, Enrique
Publié dans:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023), Numéro Volume 5, 2023, Page(s) 692-699
Éditeur:
SCITEPRESS
DOI:
10.5220/0011719700003417
Auteurs:
Jeuland, Elouan Derenee; Del Río Ferreras, Aitor; Chaves, Deisy; Fidalgo, Eduardo; González-Castro, Víctor; Alegre, Enrique
Publié dans:
XLIII Jornadas de Automática: libro de actas, Numéro 2, 2022, Page(s) 972-979, ISBN 978-84-9749-841-8
Éditeur:
-
DOI:
10.17979/spudc.9788497498418.0972
Auteurs:
Vasco-Carofilis, Andrés; Al-Nabki, Wesam; Martínez-Mendoza, Alicia; Fernández-Robles, Laura; Fidalgo, Eduardo; Alegre, Enrique
Publié dans:
5th International Conference on Applications of Intelligent Systems, 2023
Éditeur:
(APPIS 2023)
DOI:
10.5281/zenodo.7923883
Auteurs:
Antonia Adler, Michaela Geierhos, Eleanor Hobley
Publié dans:
2021 20th IEEE International Conference on Machine Learning an Applications (ICMLA), 2022
Éditeur:
IEEE
DOI:
10.1109/icmla52953.2021.00122
Auteurs:
Athanasios Psaltis; Kassiani Zafeirouli; Peter Leškovský; Stavroula Bourou; Juan Camilo Vásquez-Correa; Aitor García-Pablos; Santiago Cerezo Sánchez; Anastasios Dimou; Charalampos Z. Patrikakis; Petros Daras
Publié dans:
Information, Numéro 14(6), 2023, Page(s) 342, ISSN 2078-2489
Éditeur:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/info14060342
Auteurs:
Professor Dr. Marco Gercke
Publié dans:
Zeitschrift fuer Urheber- und Medienrecht, Numéro Numéro 11, 2021, Page(s) Pages 921-933, ISSN 0177-6762
Éditeur:
NOMOS
Auteurs:
Carofilis, Andrés; Alegre, Enrique; Fidalgo, Eduardo; Fernández-Robles, Laura
Publié dans:
IEEE/ACM Transactions on Audio, Speech, and Language Processing, Numéro 31, 2023, Page(s) 2859–2871, ISSN 2329-9304
Éditeur:
IEEE
DOI:
10.1109/TASLP.2023.3297961
Auteurs:
Andrés Carofilis; Laura Fernández-Robles; Enrique Alegre; Eduardo Fidalgo
Publié dans:
IEEE Access, Numéro 11, 2023, Page(s) 80089-80104, ISSN 2169-3536
Éditeur:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/access.2023.3300973
Auteurs:
Juan Camilo Vásquez-Correa; Aitor Álvarez
Publié dans:
Sensors, Numéro 23, 2023, Page(s) 1843, ISSN 1424-8220
Éditeur:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/s23041843
Auteurs:
Abhishek Gangwar; Víctor González-Castro; Enrique Alegre; Eduardo Fidalgo
Publié dans:
Neurocomputing 2023, Numéro Jan. 12, 2023, 2023, ISSN 0925-2312
Éditeur:
Elsevier BV
DOI:
10.1016/j.neucom.2023.01.027
Auteurs:
Al-Nabki, W., Fidalgo, E., Alegre, E., & Alaiz-Rodríguez, R
Publié dans:
Scientific Reports, Numéro 13(1), 2023, Page(s) 16108, ISSN 2045-2322
Éditeur:
Nature Publishing Group
DOI:
10.1038/s41598-023-42902-8
Auteurs:
David Montero; Marcos Nieto; Peter Leskovsky; Naiara Aginako
Publié dans:
Crossref, Numéro 8, 2021
Éditeur:
ArXiv
DOI:
10.1109/sitis57111.2022.00042
Auteurs:
David Montero, Marcos Nieto, Peter Leškovský, Naiara Aginako
Publié dans:
the Computing Research Repository (CoRR) in arXiv, 2021
Éditeur:
arXiv
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