has succesfully defended her Ph.D thesis on May 19, 2025 at the European University Institute, Florence. She researched the proportionality principle as accountability tool for the use of facial recognition technology. Congratulations Natalia !
DEFORM (Deepfake detection and Explainability using Foundation Representation Models) develops explainable AI methods for detecting multimodal deepfakes (image, video and audio), designed to support expert judgement in forensic, judicial, and policy contexts. DEFORM will develop multimodal manipulation detection and provide modular and multi-level explainability mechanisms for deepfake detection, supporting
The EU Publications Office published the reports made by Catherine Jasserand and by Els J. Kindt for the EU Commission on selected Art. 5 AI Act prohibitions and conditions, including on remote biometric identification. They served as input to the Commission’s Guidelines on Art. 5 AI Act: * E. J.
Abdullah Elbi is very busy disseminating knowledge on biometric data processing and AI. On 24 April 2026 he made a presentation entitled “Zoom Out: Lessons from EU Research Projects on Biometric Technologies from the Border Security Domain” at the final event of the KU Leuven AI & Human Rights Clinic
Flanders Innovation & Entrepreneurship (VLAIO) funded a new project SCAMPER to develop advanced privacy-preserving methods to protect biometric and other sensitive data. These methods will rely on inherent multi-factor authentication and multiple verification steps for strong biometric authentication. The project combines partners from industry and academia. Bilgesu Sumer