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Deepfake detection and Explainability using FOundation Representation Modelscore

DEFORM · Horizon Europe grant · 2026-09-01–2029-08-31

EC contribution

€2,999,856

Total cost

€2,999,856

Beneficiaries

14
About the data

Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-CL3-2025-01 · scheme HORIZON-RIA · topic HORIZON-CL3-2025-01-FCT-01. CORDIS record →

Objective

DEFORM addresses the urgent need for robust, explainable AI forensic tools to counter the growing threat of Deepfakes, AI-generated or manipulated audio, video, and images that challenge current forensic tools. The project will deliver a modular, practitioner-driven AI framework with multi-level explainability for multimodal Deepfake detection and source tracing, validated (TRL5) and demonstrated (TRL6) in 2 operational forensic environments. DEFORM’s innovative approach leverages emerging Foundation Representation Models and few-shot learning for robust and multi-level explainable AI (xAI) to ensure adaptability to new manipulation techniques and transparency for diverse stakeholders, including investigators, forensic examiners, legal professionals, and lay audiences. The consortium unites leading scientific, technical, legal, and practitioner partners from six European countries, including police authorities and forensic institutes, to co-design, validate, and demonstrate solutions aligned with EU legal, ethical, and forensic standards. By twinning expert research partners in scientific, legal and ethical part from partner countries with practitioners from respective countries, DEFORM outputs include validated detection and source tracing modules for image, audio, and video; human-centred xAI explanations; annotated Deepfake datasets; and open-source forensic tools for wide adoption. DEFORM’s impact pathway ensures improved reliability and usability for modern forensic analysis using new and emerging technology. This will enhance the capacity for law enforcement to fight against crimes in digital area and strengthen public trust. DEFORM's innovative training curricula will bridge the gap between research and operational practice. Also, stakeholder engagement will foster wide adoption and contribute to a strong and independent EU AI continent.

Beneficiaries (14)

OrganisationCountryRoleEC contributionSME
NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU NO coordinator €392,875
UNIVERSITEIT TWENTE NL participant €387,326
EURECOM GIE FR participant €375,475
IDEMIA Public Security France FR participant €369,812
FONDATION DE L'INSTITUT DE RECHERCHE IDIAP CH participant €333,855
MINISTERE DE L'INTERIEUR FR participant €270,125
Netherlands Forensic Institute NL participant €206,094
EUROPEAN ASSOCIATION FOR BIOMETRICS NL participant €195,670
VRIJE UNIVERSITEIT BRUSSEL BE participant €194,375
UNIVERSITA DEGLI STUDI DI CATANIA IT participant €156,250
ELS KINDT BVBA BE participant €59,000
Jasserand Breeman Catherine Agnes NL participant €58,998 Yes
MINISTERO DELL'INTERNO IT participant €0
POLITIDIREKTORATET NO participant €0

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