14 citations · 35 across the 14 of their papers we have counts for
14 papers
MultiGait: A Multi-Sensor Multi-Perspective Multi-Session Biometric Inference Benchmark and its Dataset
Julian Todt, Felix Morsbach, Philip Dissert +1
A lack of suitable datasets has limited the research into the privacy risks of novel smart city sensors, such as thermal cameras, depth cameras, and lidar. Given the number of unsu…
NeuroShield: A Device-Agnostic Foundation Model for EEG Authentication
Matin Fallahi, Patricia Arias-Cabarcos, Thorsten Strufe
A central challenge in EEG authentication is that models are typically tied to the acquisition settings in which they are trained. In particular, variations in headset hardware, ch…
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…
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…
Advancing Brainwave-Based Biometrics: A Large-Scale, Multi-Session Evaluation
Matin Fallahi, Patricia Arias-Cabarcos, Thorsten Strufe
The field of brainwave-based biometrics has gained attention for its potential to revolutionize user authentication through hands-free interaction, resistance to shoulder surfing,…
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…
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…
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…
On the Usability of Next-Generation Authentication: A Study on Eye Movement and Brainwave-based Mechanisms
Matin Fallahi, Patricia Arias Cabarcos, Thorsten Strufe
Passwords remain a widely-used authentication mechanism, despite their well-known security and usability limitations. To improve on this situation, next-generation authentication m…
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…
A False Sense of Privacy: Towards a Reliable Evaluation Methodology for the Anonymization of Biometric Data
Simon Hanisch, Julian Todt, Jose Patino +2
Biometric data contains distinctive human traits such as facial features or gait patterns. The use of biometric data permits an individuation so exact that the data is utilized eff…
Fantômas: Understanding Face Anonymization Reversibility
Julian Todt, Simon Hanisch, Thorsten Strufe
Face images are a rich source of information that can be used to identify individuals and infer private information about them. To mitigate this privacy risk, anonymizations employ…
Understanding Person Identification through Gait
Simon Hanisch, Evelyn Muschter, Admantini Hatzipanayioti +2
Gait recognition is the process of identifying humans from their bipedal locomotion such as walking or running. As such, gait data is privacy sensitive information and should be an…
Privacy-Protecting Techniques for Behavioral Biometric Data: A Survey
Simon Hanisch, Patricia Arias-Cabarcos, Javier Parra-Arnau +1
Our behavior (the way we talk, walk, act or think) is unique and can be used as a biometric trait. It also correlates with sensitive attributes like emotions and health conditions.…