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cs.CR2025

FacialMotionID: Identifying Users of Mixed Reality Headsets using Abstract Facial Motion Representations

Adriano Castro, Simon Hanisch, Matin Fallahi +1

Facial motion capture in mixed reality headsets enables real-time avatar animation, allowing users to convey non-verbal cues during virtual interactions. However, as facial motion…

cs.CR2025

Pantomime: Motion Data Anonymization using Foundation Motion Models

Simon Hanisch, Julian Todt, Thorsten Strufe

Human motion is a behavioral biometric trait that can be used to identify individuals and infer private attributes such as medical conditions. This poses a serious threat to privac…

cs.CR2025

Beyond Gaze Points: Augmenting Eye Movement with Brainwave Data for Multimodal User Authentication in Extended Reality

Matin Fallahi, Patricia Arias-Cabarcos, Thorsten Strufe

Extended Reality (XR) technologies are becoming integral to daily life. However, password-based authentication in XR disrupts immersion due to poor usability, as entering credentia…

cs.CR2025

On the Reliability of Biometric Datasets: How Much Test Data Ensures Reliability?

Matin Fallahi, Ragini Ramesh, Pankaja Priya Ramasamy +3

Biometric authentication is increasingly popular for its convenience and accuracy. However, while recent advancements focus on reducing errors and expanding modalities, the reliabi…

cs.CR2024

NeuroIDBench: An Open-Source Benchmark Framework for the Standardization of Methodology in Brainwave-based Authentication Research

Avinash Kumar Chaurasia, Matin Fallahi, Thorsten Strufe +2

Biometric systems based on brain activity have been proposed as an alternative to passwords or to complement current authentication techniques. By leveraging the unique brainwave p…

cs.CR2024

SEBA: Strong Evaluation of Biometric Anonymizations

Julian Todt, Simon Hanisch, Thorsten Strufe

Biometric data is pervasively captured and analyzed. Using modern machine learning approaches, identity and attribute inferences attacks have proven high accuracy. Anonymizations a…