Global Response Against Child Exploitation

Risultati finali

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 responders

This report will include best practices on victim support for LEA first responders on CSE. Related task(s): T10.5

Report on Federated Learning strategies

This deliverable will report on the design and implementation of the Federated Learning strategies Related tasks T53

Legal report v2

This 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 Procedure

This 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 guidelines

This 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 v1

This 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 v2

This 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 establishment

Description of structure members and governance policies for the GRACE subcommittees and Advisory Boards

Ethical report v2

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 task(s): T9.1.

Legal report v1

This 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 v1

This report will include best practices on victim support for LEA first responders on CSE Related tasks T105

SELP guidelines for GRACE

Description 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 tools

Description 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 v1

This deliverable will deliver policy recommendations for addressing the creation distribution and consumption of online CSEM Related tasks T104

Overall legal and ethical v2 framework

This deliverable will define the overall legal and ethical framework of the GRACE project. Related task(s): T9.3.

GRACE website, social media presence and dissemination materials

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

Pubblicazioni

Impact of facial occlusions in age estimation algorithms for forensic applications.

Autori: Carofilis, A., Chaves, D., Martínez-Mendoza, A., Fidalgo, E., González-Castro, V., & Alegre, E.
Pubblicato in: VIII Jornadas Nacionales de Investigación en Ciberseguridad, 2023
Editore: -
DOI: 10.5281/zenodo.10130421

Multi-label Text Classification Approach for User Profiling in Chat Messages

Autori: Al-Nabki, Wesam; Vasco-Carofilis, Andrés; Díaz-Ocampo, Daniel; Deisy Chaves; Fernández-Robles, Laura; Alegre, Enrique
Pubblicato in: 5th International Conference on Applications of Intelligent Systems, 2023
Editore: (APPIS 2023)
DOI: 10.5281/zenodo.7990416

Deep Multi-modal Representation Schemes for Federated 3D Human Action Recognition

Autori: Psaltis, A., Patrikakis, C. Z., & Daras, P.
Pubblicato in: European Conference on Computer Vision, 2022
Editore: -
DOI: 10.5281/zenodo.7505951

Authorship identification in text documents using BERT and POS features

Autori: Daniel Díaz-Ocampo; Wesam Al-Nabki; Andrés Vasco-Carofilis; Laura Fernández-Robles; Eduardo Fidalgo; Enrique Alegre
Pubblicato in: 5th International Conference on Applicationsof Intelligent Systems, 2023
Editore: (APPIS 2023)
DOI: 10.5281/zenodo.7923979

Boosting Masked Face Recognition with Multi-Task ArcFace

Autori: David Montero, Marcos Nieto, Peter Leskovsky, Naiara Aginako
Pubblicato in: Proceedings of SITIS 2022, 2023
Editore: IEEE

A Data Augmentation Strategy for Improving Age Estimation to Support CSEM Detection

Autori: Chaves, Deisy; Agarwal, Nancy; Fidalgo, Eduardo; Alegre, Enrique
Pubblicato in: Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023), Numero Volume 5, 2023, Pagina/e 692-699
Editore: SCITEPRESS
DOI: 10.5220/0011719700003417

Assessment of age estimation methods for forensic applications using non-occluded and synthetic occluded facial images

Autori: Jeuland, Elouan Derenee; Del Río Ferreras, Aitor; Chaves, Deisy; Fidalgo, Eduardo; González-Castro, Víctor; Alegre, Enrique
Pubblicato in: XLIII Jornadas de Automática: libro de actas, Numero 2, 2022, Pagina/e 972-979, ISBN 978-84-9749-841-8
Editore: -
DOI: 10.17979/spudc.9788497498418.0972

Age and gender estimation from speech to support the detection of Child Sexual Abuse Material

Autori: Vasco-Carofilis, Andrés; Al-Nabki, Wesam; Martínez-Mendoza, Alicia; Fernández-Robles, Laura; Fidalgo, Eduardo; Alegre, Enrique
Pubblicato in: 5th International Conference on Applications of Intelligent Systems, 2023
Editore: (APPIS 2023)
DOI: 10.5281/zenodo.7923883

Influence of Training Data on the Invertability of Neural Networks for Handwritten Digit Recognition

Autori: Antonia Adler, Michaela Geierhos, Eleanor Hobley
Pubblicato in: 2021 20th IEEE International Conference on Machine Learning an Applications (ICMLA), 2022
Editore: IEEE
DOI: 10.1109/icmla52953.2021.00122

Fostering Trustworthiness of Federated Learning Ecosystem through Realistic Scenarios

Autori: 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
Pubblicato in: Information, Numero 14(6), 2023, Pagina/e 342, ISSN 2078-2489
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info14060342

The Development of Cybercrime Law 2020/2021

Autori: Professor Dr. Marco Gercke
Pubblicato in: Zeitschrift fuer Urheber- und Medienrecht, Numero Numero 11, 2021, Pagina/e Pages 921-933, ISSN 0177-6762
Editore: NOMOS

Improvement of Accent Classification Models Through Grad-Transfer From Spectrograms and Gradient-Weighted Class Activation Mapping

Autori: Carofilis, Andrés; Alegre, Enrique; Fidalgo, Eduardo; Fernández-Robles, Laura
Pubblicato in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, Numero 31, 2023, Pagina/e 2859–2871, ISSN 2329-9304
Editore: IEEE
DOI: 10.1109/TASLP.2023.3297961

MeWEHV: Mel and Wave Embeddings for Human Voice Tasks

Autori: Andrés Carofilis; Laura Fernández-Robles; Enrique Alegre; Eduardo Fidalgo
Pubblicato in: IEEE Access, Numero 11, 2023, Pagina/e 80089-80104, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3300973

Novel Speech Recognition Systems Applied to Forensics within Child Exploitation: Wav2vec2.0 vs. Whisper

Autori: Juan Camilo Vásquez-Correa; Aitor Álvarez
Pubblicato in: Sensors, Numero 23, 2023, Pagina/e 1843, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23041843

Triple-BigGAN: Semi-supervised Generative Adversarial Networks for Image Synthesis and Classification on Sexual Facial Expression Recognition

Autori: Abhishek Gangwar; Víctor González-Castro; Enrique Alegre; Eduardo Fidalgo
Pubblicato in: Neurocomputing 2023, Numero Jan. 12, 2023, 2023, ISSN 0925-2312
Editore: Elsevier BV
DOI: 10.1016/j.neucom.2023.01.027

Short text classification approach to identify child sexual exploitation material

Autori: Al-Nabki, W., Fidalgo, E., Alegre, E., & Alaiz-Rodríguez, R
Pubblicato in: Scientific Reports, Numero 13(1), 2023, Pagina/e 16108, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-023-42902-8

Boosting Masked Face Recognition with Multi-Task ArcFace

Autori: David Montero; Marcos Nieto; Peter Leskovsky; Naiara Aginako
Pubblicato in: Crossref, Numero 8, 2021
Editore: ArXiv
DOI: 10.1109/sitis57111.2022.00042

Boosting Masked Face Recognition with Multi-Task ArcFace

Autori: David Montero, Marcos Nieto, Peter Leškovský, Naiara Aginako
Pubblicato in: the Computing Research Repository (CoRR) in arXiv, 2021
Editore: arXiv

Risultati finali

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