Have a look at our research


Biometrics are a commonly used approach to mitigate shortcomings of memory-based mechanisms such as passwords, PINs and unlock patterns. Face recognition and fingerprint scanning are increasingly used in smartphones while voice recognition is used to secure phone banking or voice-based assistants such as Alexa and Google Home. Despite their ease of use, biometrics come with security considerations such as non-revocability, public availability of traits and securing systems against imitation and presentation attacks.

The group’s research is focused both on exploration of novel biometrics (such as eye movements, touch dynamics or PPG) and analysing the security of existing systems.

  • Ivo Sluganovic
  • Simon Eberz
  • Giulio Lovisotto
  • Henry Turner
  • Martin Georgiev


Biometric Backdoors: A Poisoning Attack Against Unsupervised Template Updating

Giulio Lovisotto, Simon Eberz, Ivan Martinovic.

2020 IEEE European Symposium on Security and Privacy (EuroS&P). September 2020.

Paper Video Github Publication
Seeing Red: PPG Biometrics Using Smartphone Cameras

Giulio Lovisotto, Henry Turner, Simon Eberz, Ivan Martinovic.

IEEE 15th Computer Society Workshop on Biometrics. June 2020.

Paper Github Publication
Attacking Speaker Recognition Systems with Phoneme Morphing

Henry Turner, Giulio Lovisotto, Ivan Martinovic.

European Symposium on Research in Computer Security (ESORICS). 2019.

Paper Publication
28 Blinks Later: Tackling Practical Challenges of Eye Movement Biometrics

Simon Eberz, Giulio Lovisotto, Kasper B Rasmussen, Vincent Lenders, Ivan Martinovic.

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security. 2019.

Paper Publication
When your fitness tracker betrays you: Quantifying the predictability of biometric features across contexts

Simon Eberz, Giulio Lovisotto, Andrea Patane, Marta Kwiatkowska, Vincent Lenders, Ivan Martinovic.

2018 IEEE Symposium on Security and Privacy (SP). 2018.

Paper Publication