activity
20212025
most citedUnderstanding Person Identification through Gait

14 citations · 32 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2025★ 1 cited

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.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…

cs.CR2023★ 10 cited

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…

cs.CR2022★ 1 cited

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…

cs.CR2022★ 14 cited

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…

cs.CR2021★ 5 cited

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.…