The growing deployment of facial recognition systems in security-critical applications has exposed significant vulnerabilities to face morphing attacks, where images combining multiple identities can successfully deceive both human examiners and automated systems. These threats pose serious challenges for identity verification processes, including border control, passport issuance, and digital identity systems, making the development of reliable morphing attack detection (MAD) techniques a key priority for the biometrics community.
Co-organised with Annalisa Franco (University of Bologna, Italy), this workshop will provide a comprehensive overview of face morphing and morphing attack detection, spanning the full pipeline from attack generation techniques to recent detection strategies. The programme will also address system and human vulnerabilities, ongoing research initiatives, real-world operational perspectives, and large-scale benchmarking efforts. The workshop aims to advance understanding of current challenges and support the development of robust and practical MAD solutions.
Day 1 will focus on understanding morphs and cutting-edge MAD, and Day 2 will aim to provide an outlook into the future of MAD and morphing research with insights from end-users, current research projects and evaluation bodies.
Attendance is free of charge but registration is required. Credentials will be shared with participants the day before the event.
We thank our media partner:
The programme will be published shortly.
