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