Behavioral Privacy

Here you can access the studies of the research group 

julian research

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Publications on this topic

SoK: Differentially Private Publication of Trajectory Data
Miranda-Pascual, À.; Guerra-Balboa, P.; Parra-Arnau, J.; Forné, J.; Strufe, T.
2023. Proceedings on Privacy Enhancing Technologies, 496–516, De Gruyter. doi:10.56553/popets-2023-0065
Performance and Usability Evaluation of Brainwave Authentication Techniques with Consumer Devices
Arias-Cabarcos, P.; Fallahi, M.; Habrich, T.; Schulze, K.; Becker, C.; Strufe, T.
2023. ACM Transactions on Privacy and Security. doi:10.1145/3579356
Understanding person identification via gait
Hanisch, S.; Muschter, E.; Chatzipanagioti, A.; Li, S.-C.; Strufe, T.
2023. Proceedings on Privacy Enhancing Technologies (PoPETs)
La Publicación de Trayectorias: un Estudio sobre la Protección de la Privacidad
Guerra-Balboa, P.; Miranda-Pascual, À.; Parra-Arnau, J.; Forné, J.; Strufe, T.
2022. Proceedings of the XVII Spanish Meeting on Cryptology and Information Security (RECSI), Santader, 19th - 21st October, 2022. doi:10.22429/Euc2022.028
Why Do Machine Learning Practitioners Still Use Manual Tuning? A Qualitative Study
Hasebrook, N.; Morsbach, F.; Kannengießer, N.; Franke, J.; Hutter, F.; Sunyaev, A.
2022. Karlsruher Institut für Technologie (KIT). doi:10.48550/ARXIV.2203.01717
Anonymizing Trajectory Data: Limitations and Opportunities
Guerra-Balboa, P.; Miranda-Pascual, À.; Strufe, T.; Parra-Arnau, J.; Forné, J.
2022. 3rd AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-22 2022), Online, February 28, 2022
MPER - a Motion Profiling Experiment and Research system for human body movement
Rettlinger, S.; Knaus, B.; Wieczorek, F.; Ivakko, N.; Hanisch, S.; Nguyen, G. T.; Strufe, T.; Fitzek, F. H. P.
2022. 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Pisa, Italy, 21-25 March 2022, 88–90, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PerComWorkshops53856.2022.9767484
Architecture Matters: Investigating the Influence of Differential Privacy on Neural Network Design
Morsbach, F.; Dehling, T.; Sunyaev, A.
2021. Presented at NeurIPS 2021 Workshop on Privacy in Machine Learning (PriML 2021), 14.12.2021. doi:10.48550/arXiv.2111.14924
Side-Channel Attacks on Query-Based Data Anonymization
Boenisch, F.; Munz, R.; Tiepelt, M.; Hanisch, S.; Kuhn, C.; Francis, P.
2021. CCS ’21: Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security, November 2021, 1254–1265, Association for Computing Machinery (ACM). doi:10.1145/3460120.3484751
Privacy-Protecting Techniques for Behavioral Data: A Survey
Hanisch, S.; Arias-Cabarcos, P.; Parra-Arnau, J.; Strufe, T.
2021. arxiv. doi:10.5445/IR/1000139989
Tactile computing: Essential building blocks for the Tactile Internet
Aßmann, U.; Baier, C.; Dubslaff, C.; Grzelak, D.; Hanisch, S.; Hartono, A. P. P.; Köpsell, S.; Lin, T.; Strufe, T.
2021. Tactile Internet. Ed.: F. H.P. Fitzek, 293–317, Academic Press. doi:10.1016/B978-0-12-821343-8.00025-3