1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CR2026
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…
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.CR2024★ 1 cited
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…