Leistungen
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
Veröffentlichungen
Autoren:
Carofilis, A., Chaves, D., Martínez-Mendoza, A., Fidalgo, E., González-Castro, V., & Alegre, E.
Veröffentlicht in:
VIII Jornadas Nacionales de Investigación en Ciberseguridad, 2023
Herausgeber:
-
DOI:
10.5281/zenodo.10130421
Autoren:
Al-Nabki, Wesam; Vasco-Carofilis, Andrés; Díaz-Ocampo, Daniel; Deisy Chaves; Fernández-Robles, Laura; Alegre, Enrique
Veröffentlicht in:
5th International Conference on Applications of Intelligent Systems, 2023
Herausgeber:
(APPIS 2023)
DOI:
10.5281/zenodo.7990416
Autoren:
Psaltis, A., Patrikakis, C. Z., & Daras, P.
Veröffentlicht in:
European Conference on Computer Vision, 2022
Herausgeber:
-
DOI:
10.5281/zenodo.7505951
Autoren:
Daniel Díaz-Ocampo; Wesam Al-Nabki; Andrés Vasco-Carofilis; Laura Fernández-Robles; Eduardo Fidalgo; Enrique Alegre
Veröffentlicht in:
5th International Conference on Applicationsof Intelligent Systems, 2023
Herausgeber:
(APPIS 2023)
DOI:
10.5281/zenodo.7923979
Autoren:
David Montero, Marcos Nieto, Peter Leskovsky, Naiara Aginako
Veröffentlicht in:
Proceedings of SITIS 2022, 2023
Herausgeber:
IEEE
Autoren:
Chaves, Deisy; Agarwal, Nancy; Fidalgo, Eduardo; Alegre, Enrique
Veröffentlicht in:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023), Ausgabe Volume 5, 2023, Seite(n) 692-699
Herausgeber:
SCITEPRESS
DOI:
10.5220/0011719700003417
Autoren:
Jeuland, Elouan Derenee; Del Río Ferreras, Aitor; Chaves, Deisy; Fidalgo, Eduardo; González-Castro, Víctor; Alegre, Enrique
Veröffentlicht in:
XLIII Jornadas de Automática: libro de actas, Ausgabe 2, 2022, Seite(n) 972-979, ISBN 978-84-9749-841-8
Herausgeber:
-
DOI:
10.17979/spudc.9788497498418.0972
Autoren:
Vasco-Carofilis, Andrés; Al-Nabki, Wesam; Martínez-Mendoza, Alicia; Fernández-Robles, Laura; Fidalgo, Eduardo; Alegre, Enrique
Veröffentlicht in:
5th International Conference on Applications of Intelligent Systems, 2023
Herausgeber:
(APPIS 2023)
DOI:
10.5281/zenodo.7923883
Autoren:
Antonia Adler, Michaela Geierhos, Eleanor Hobley
Veröffentlicht in:
2021 20th IEEE International Conference on Machine Learning an Applications (ICMLA), 2022
Herausgeber:
IEEE
DOI:
10.1109/icmla52953.2021.00122
Autoren:
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
Veröffentlicht in:
Information, Ausgabe 14(6), 2023, Seite(n) 342, ISSN 2078-2489
Herausgeber:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/info14060342
Autoren:
Professor Dr. Marco Gercke
Veröffentlicht in:
Zeitschrift fuer Urheber- und Medienrecht, Ausgabe Ausgabe 11, 2021, Seite(n) Pages 921-933, ISSN 0177-6762
Herausgeber:
NOMOS
Autoren:
Carofilis, Andrés; Alegre, Enrique; Fidalgo, Eduardo; Fernández-Robles, Laura
Veröffentlicht in:
IEEE/ACM Transactions on Audio, Speech, and Language Processing, Ausgabe 31, 2023, Seite(n) 2859–2871, ISSN 2329-9304
Herausgeber:
IEEE
DOI:
10.1109/TASLP.2023.3297961
Autoren:
Andrés Carofilis; Laura Fernández-Robles; Enrique Alegre; Eduardo Fidalgo
Veröffentlicht in:
IEEE Access, Ausgabe 11, 2023, Seite(n) 80089-80104, ISSN 2169-3536
Herausgeber:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/access.2023.3300973
Autoren:
Juan Camilo Vásquez-Correa; Aitor Álvarez
Veröffentlicht in:
Sensors, Ausgabe 23, 2023, Seite(n) 1843, ISSN 1424-8220
Herausgeber:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/s23041843
Autoren:
Abhishek Gangwar; Víctor González-Castro; Enrique Alegre; Eduardo Fidalgo
Veröffentlicht in:
Neurocomputing 2023, Ausgabe Jan. 12, 2023, 2023, ISSN 0925-2312
Herausgeber:
Elsevier BV
DOI:
10.1016/j.neucom.2023.01.027
Autoren:
Al-Nabki, W., Fidalgo, E., Alegre, E., & Alaiz-Rodríguez, R
Veröffentlicht in:
Scientific Reports, Ausgabe 13(1), 2023, Seite(n) 16108, ISSN 2045-2322
Herausgeber:
Nature Publishing Group
DOI:
10.1038/s41598-023-42902-8
Autoren:
David Montero; Marcos Nieto; Peter Leskovsky; Naiara Aginako
Veröffentlicht in:
Crossref, Ausgabe 8, 2021
Herausgeber:
ArXiv
DOI:
10.1109/sitis57111.2022.00042
Autoren:
David Montero, Marcos Nieto, Peter Leškovský, Naiara Aginako
Veröffentlicht in:
the Computing Research Repository (CoRR) in arXiv, 2021
Herausgeber:
arXiv
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