European Identity THeft Observatory System

Rezultaty

Relevant Legal and Ethical Frameworks v2

The deliverable will describe legal and ethical frameworks that are related to EITHOS. That is, frameworks that are related to security, privacy, and the ethical processing of data and will provide the guidelines for lawful and ethical developments in EITHOS.

EITHOS Dissemination, Communication, Exploitation, and Sustainability

This deliverable will describe the activities within this WP and will be constituted by three (3) iterations. The first one will provide a description of the plan and strategies that EITHOS will follow for reaching significant amounts of citizens and LEAs. The second version will describe the materialisation of the awareness campaigns as well as the results gathered within the related activities, as well as an initial plan for the observatory’s sustainability. The third and final version will provide further information regarding the campaigns, as well as EITHOS’ training packages for LEAs, to conclude with a concrete plan on the sustainability of EITHOS.

Project Management Plan & Handbook

The project handbook will outline the processes that will be followed and used during the projects lifetime in terms of reporting communicating and document handling

Identity Theft Victim Cognitive Report

This deliverable will report the impact of identity theft from a holistic societal perspective based on critical review of scientific literature; semi-structured interviews to law enforcement officials, psychologists, and other personnel of the centres for digital frauds and victim support; ethnography on victims of identity theft.

Data Management Plan v1

The data management plan will define how the various kinds of data collected and generated in the project will be handled and stored It will be a report of the planned processing operations and their purposes as well as an assessment of the necessity of personal data processing in relation to the purposes It also set the requirements for data store in terms of security and privacy protection It will be maintained as a living document

Relevant legal and ethical frameworks v1

The deliverable will describe legal and ethical frameworks that are related to EITHOS That is frameworks that are related to security privacy and the ethical processing of data and will provide the guidelines for lawful and ethical developments in EITHOS

Digital Evidence Collection and Exchange v2

This deliverable will present the work done as part of T2.2, regarding the identified frameworks that can support the lawful and ethical e-evidence collection and exchange, as well as the utilisation of remote AI-based tools be the LEAs.

Evolving Landscape Monitoring v1

This deliverable will report novel findings regarding the identity theft landscape, throughout the project’s lifetime, to finally report the lessons learnt from the research activities within EITHOS

EITHOS Dissemination, Communication, Exploitation, and Sustainability v1

This deliverable will describe the activities within this WP and will be constituted by three 3 iterations The first one will provide a description of the plan and strategies that EITHOS will follow for reaching significant amounts of citizens and LEAs The second version will describe the materialisation of the awareness campaigns as well as the results gathered within the related activities as well as an initial plan for the observatorys sustainability The third and final version will provide further information regarding the campaigns as well as EITHOS training packages for LEAs to conclude with a concrete plan on the sustainability of EITHOS

Data Management Plan v2

The data management plan will define how the various kinds of data collected and generated in the project will be handled and stored. It will be a report of the planned processing operations and their purposes, as well as an assessment of the necessity of personal data processing in relation to the purposes. It also set the requirements for data store in terms of security and privacy protection. It will be maintained as a living document.

EITHOS Awareness Campaigns v1

This deliverable will be reporting EITHOS strategy and approach to the projects awareness campaigns v1 as well as the projects activities performed to reach EITHOS awareness related objectives v2 v3

EITHOS Dissemination, Communication, Exploitation, and Sustainability v3

This deliverable will describe the activities within this WP and will be constituted by three (3) iterations. The first one will provide a description of the plan and strategies that EITHOS will follow for reaching significant amounts of citizens and LEAs. The second version will describe the materialisation of the awareness campaigns as well as the results gathered within the related activities, as well as an initial plan for the observatory’s sustainability. The third and final version will provide further information regarding the campaigns, as well as EITHOS’ training packages for LEAs, to conclude with a concrete plan on the sustainability of EITHOS.

EITHOS Awareness Campaigns v2

This deliverable will be reporting EITHOS’ strategy and approach to the project’s awareness campaigns (v1) as well as the project’s activities performed to reach EITHOS’ awareness related objectives (v2, v3).

Identity Theft Victim Support Assessment

This deliverable will be a report based on comparison of the different kinds of interventions implemented in favour of the victims. Based on the best practices of psychological and social support for the victims offered in the different private and public organizations, the Assessment-Report will provide guidelines and viable protocols for interventions.

Digital Evidence Collection and Exchange v1

This deliverable will present the work done as part of T2.2, regarding the identified frameworks that can support the lawful and ethical e-evidence collection and exchange, as well as the utilisation of remote AI-based tools be the LEAs.

EITHOS Awareness Campaigns v3

This deliverable will be reporting EITHOS’ strategy and approach to the project’s awareness campaigns (v1) as well as the project’s activities performed to reach EITHOS’ awareness related objectives (v2, v3).

Evolving Landscape Monitoring v2

This deliverable will report novel findings regarding the identity theft landscape, throughout the project’s lifetime, to finally report the lessons learnt from the research activities within EITHOS.

Publikacje

We are molecurarly in it! Endoptikon, circulation of health data and risks of online identity theft

Autorzy: Annalisa Plava
Wydawca: OpenAIRE
DOI: 10.5281/ZENODO.17241886

Drawing the Risk. Communicating and Preventing the Online Identity Theft through Art-Based Methods

Autorzy: Annalisa Plava
Wydawca: Book of Abstracts (ISA Forum of Sociology)
DOI: 10.5281/ZENODO.17242070

Violare il dato (sanitario). Il rischio di furto di identità tra ragione ed emozione

Autorzy: Annalisa Plava
Wydawca: OpenAIRE
DOI: 10.5281/ZENODO.17713410

The Vicomtech partial deepfake detection and location system for the 2023 ADD Challenge

Autorzy: Martín-Doñas, Juan Manuel; Álvarez Muniain, Aitor
Opublikowane w: 2023, ISSN 1613-0073
Wydawca: CEUR
DOI: 10.5281/zenodo.10021600

MGAMNET: A Mask-Guided Attention Network for Deepfake Detection

Autorzy: Vazgken Vanian, Georgios Petmezas, Eleana E.I. Almaloglou, Dimitris Zarpalas
Opublikowane w: 2025 25th International Conference on Digital Signal Processing (DSP), 2025
Wydawca: IEEE
DOI: 10.1109/DSP65409.2025.11075024

Exploring Self-supervised Embeddings and Synthetic Data Augmentation for Robust Audio Deepfake Detection

Autorzy: Juan M. Martín-Doñas, Aitor Álvarez, Eros Rosello, Angel M. Gomez, Antonio M. Peinado
Opublikowane w: Interspeech 2024, 2024
Wydawca: ISCA
DOI: 10.21437/INTERSPEECH.2024-942

Understanding Or Underestimating The Risk? Stigma Perception And Fear Of Online Identity Theft In Expert Users

Autorzy: Annalisa Plava
Wydawca: OpenAIRE
DOI: 10.5281/ZENODO.17241984

Creativity and (social) security. Using art-based to contain and prevent Online IDentity Theft

Autorzy: Annalisa Plava
Wydawca: Network RC33
DOI: 10.5281/ZENODO.17242191

Anti-spoofing Ensembling Model: Dynamic Weight Allocation in Ensemble Models for Improved Voice Biometrics Security

Autorzy: Eros Rosello, Angel M. Gomez, Iván López-Espejo, Antonio M. Peinado, Juan M. Martín-Doñas
Opublikowane w: Interspeech 2024, 2024
Wydawca: ISCA
DOI: 10.21437/INTERSPEECH.2024-403

ASASVIcomtech: the Vicomtech-UGR speech deepfake detection and SASV systems for the ASVspoof5 Challenge

Autorzy: Juan M. Martín-Doñas, Eros Rosello, Angel M. Gomez, Aitor Álvarez, Iván López-Espejo, Antonio M. Peinado
Opublikowane w: The Automatic Speaker Verification Spoofing Countermeasures Workshop (ASVspoof 2024), 2024
Wydawca: ISCA
DOI: 10.21437/ASVSPOOF.2024-21

A Dual-Branch Fusion Model for Deepfake Detection Using Video Frames and Microexpression Features

Autorzy: Georgios Petmezas, Vazgken Vanian, Manuel Pastor Rufete, Eleana E. I. Almaloglou, Dimitris Zarpalas
Opublikowane w: Journal of Imaging, Numer 11, 2025, ISSN 2313-433X
Wydawca: MDPI AG
DOI: 10.3390/JIMAGING11070231

Video deepfake detection using a hybrid CNN-LSTM-Transformer model for identity verification

Autorzy: Georgios Petmezas, Vazgken Vanian, Konstantinos Konstantoudakis, Elena E. I. Almaloglou, Dimitris Zarpalas
Opublikowane w: Multimedia Tools and Applications, Numer 84, 2025, ISSN 1573-7721
Wydawca: Springer Science and Business Media LLC
DOI: 10.1007/S11042-024-20548-6

Caring during crisis: navigating risk and uncertainty in health, care and beyond (ESA-SORU)

Autorzy: Plava Annalisa
Opublikowane w: SORU, ISSN 0000-0000
Wydawca: Marketing & Communicatie ESHPM
DOI: 10.5281/ZENODO.17651659

ReenactFaces: A Specialized Dataset for Reenactment-Based Deepfake Detection

Autorzy: Vazgken Vanian, Georgios Petmezas, Konstantinos Konstantoudakis, Dimitris Zarpalas
Opublikowane w: Lecture Notes on Data Engineering and Communications Technologies, Advanced Information Networking and Applications, 2025, ISSN 0000-0000
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-87784-1_35

XDF: A Large-Scale Dataset for Evaluating Video Deepfake Detection Across Multiple Manipulation Techniques

Autorzy: Vazgken Vanian, Georgios Petmezas, Konstantinos Konstantoudakis, Dimitris Zarpalas
Opublikowane w: Proceedings of the 4th ACM International Workshop on Multimedia AI against Disinformation, 2025, ISSN 0000-0000
Wydawca: ACM
DOI: 10.1145/3733567.3735569

Rezultaty

Publikacje

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