Hier finden Sie Veröffentlichungen zu aktuellen Themen des Forschungsnetzwerks Anonymisierung.
Yang, Yushan; Hanisch, Simon; Ma, Mingyu; Roos, Stefanie; Strufe, Thorsten; Nguyen, Giang T
First Steps Towards Game and Activity Inference on Encrypted VR Datastreams Proceedings Article
In: International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), pp. 105â110, IEEE 2024.
@inproceedings{yang24first,
title = {First Steps Towards Game and Activity Inference on Encrypted VR Datastreams},
author = {Yushan Yang and Simon Hanisch and Mingyu Ma and Stefanie Roos and Thorsten Strufe and Giang T Nguyen},
year = {2024},
date = {2024-01-01},
booktitle = {International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)},
pages = {105â110},
organization = {IEEE},
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pubstate = {published},
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BrĂŒckner, Stefanie; Kirsten, Toralf; Schwarz, Peter; Cotte, Fabienne; Tsesis, Michael; Gilbert, Stephen
The social contract for health and wellness data sharing needs a trusted standardized consent Journal Article
In: Mayo Clinic Proceedings, vol. 1, no. 4, pp. 527-533, 2023.
@article{Brueckner2023,
title = {The social contract for health and wellness data sharing needs a trusted standardized consent},
author = {Stefanie BrĂŒckner and Toralf Kirsten and Peter Schwarz and Fabienne Cotte and Michael Tsesis and Stephen Gilbert},
url = {https://doi.org/10.1016/j.mcpdig.2023.07.008},
year = {2023},
date = {2023-12-01},
journal = {Mayo Clinic Proceedings},
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number = {4},
pages = {527-533},
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pubstate = {published},
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Welzel, Cindy; Cotte, Fabienne; Wekenborg, Magdalena; Vasey, Baptiste; McCulloch, Peter; Gilbert, Stephen
Holistic human-serving digitization of health care needs integrated automated system-level assessment tools Journal Article
In: J Med Internet Res, vol. 25, no. e50158, 2023.
@article{Welzel2023,
title = {Holistic human-serving digitization of health care needs integrated automated system-level assessment tools},
author = {Cindy Welzel and Fabienne Cotte and Magdalena Wekenborg and Baptiste Vasey and Peter McCulloch and Stephen Gilbert},
url = {https://www.jmir.org/2023/1/e50158},
year = {2023},
date = {2023-12-01},
journal = {J Med Internet Res},
volume = {25},
number = {e50158},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Jochmann, Thomas; Seibel, Marc S.; Jochmann, Elisabeth; Khan, Sheraz; HÀmÀlÀinen, Matti S.; Haueisen, Jens
Sex-related patterns in the electroencephalogram and their relevance in machine learning classifiers Journal Article
In: Human Brain Mapping, vol. 44, no. 14, pp. 4848-4858, 2023.
@article{Jochmann2023,
title = {Sex-related patterns in the electroencephalogram and their relevance in machine learning classifiers},
author = {Thomas Jochmann and Marc S. Seibel and Elisabeth Jochmann and Sheraz Khan and Matti S. HÀmÀlÀinen and Jens Haueisen},
url = {https://doi.org/10.1002/hbm.26417},
year = {2023},
date = {2023-10-01},
journal = {Human Brain Mapping},
volume = {44},
number = {14},
pages = {4848-4858},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Gilbert, Stephen; Harvey, Hugh; Melvin, Tom; Vollebregt, Erik; Wicks, Paul
Large language model AI chatbots require approval as medical devices Journal Article
In: Nature Medicine, vol. 29, pp. 2396â2398, 2023.
@article{Gilbert2023,
title = {Large language model AI chatbots require approval as medical devices},
author = {Stephen Gilbert and Hugh Harvey and Tom Melvin and Erik Vollebregt and Paul Wicks},
url = {https://doi.org/10.1038/s41591-023-02412-6},
year = {2023},
date = {2023-10-01},
journal = {Nature Medicine},
volume = {29},
pages = {2396â2398},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Walter, Maximilian; Beskorovajnov, Wasilij; Lieberwirth, Fridtjof; SĂŒrmeli, Jan; Zwick, Pascal; Heinrich, Robert
Mobility Data Anonymization â A Literature Review and an Industry-Driven Survey Proceedings
Karlsruhe Reports in Informatics; 2023,3, 2023.
@proceedings{nokey,
title = {Mobility Data Anonymization â A Literature Review and an Industry-Driven Survey},
author = {Maximilian Walter and Wasilij Beskorovajnov and Fridtjof Lieberwirth and Jan SĂŒrmeli and Pascal Zwick and Robert Heinrich},
doi = {10.5445/IR/1000162080},
year = {2023},
date = {2023-09-11},
urldate = {2023-09-11},
abstract = {The transformation of mobility is on the cusp of a significant shift,driven by data-centric technologies in both individual and public transport. However, this data often contains sensitive private data, which can be used, for instance, for tracking a person. Hence, anonymization of this mobility data is important. In this report, we present a structured literature review about anonymization methods in the mobility domain. Based on our findings, we present different anonymization methods and discuss their application scenarios and characteristics for public transport and individual one. Additionally, an industry-driven survey on anonymization methods within public transport, particularly centered around video technologies, is presented. This industry-driven survey, conducted within a video surveillance solutions company, highlights current trends and underscores the necessity for continued research. This report was created within the ANYMOS project.},
howpublished = {Karlsruhe Reports in Informatics; 2023,3},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Gilbert, Stephen; Pimenta, Andreia; Stratton-Powell, Ashley; Welzel, Cindy; Melvin, Tom
Continuous improvement of digital health applications linked to real-world performance monitoring: safe moving targets? Journal Article
In: Mayo Clinic Proceedings: Digital Health, vol. 1, no. 3, 2023.
@article{Gilbert2023b,
title = {Continuous improvement of digital health applications linked to real-world performance monitoring: safe moving targets?},
author = {Stephen Gilbert and Andreia Pimenta and Ashley Stratton-Powell and Cindy Welzel and Tom Melvin},
url = {https://doi.org/10.1016/j.mcpdig.2023.05.010},
year = {2023},
date = {2023-09-01},
journal = {Mayo Clinic Proceedings: Digital Health},
volume = {1},
number = {3},
keywords = {},
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tppubtype = {article}
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Sadare, Olamide; Melvin, Tom; Harvey, Hugh; Vollebregt, Erik; Gilbert, Stephen
Can Apple and Google continue as health app gatekeepers as well as distributors and developers? Journal Article
In: npj Digital Medicine, vol. 6, no. 8, 2023.
@article{Sadare2023,
title = {Can Apple and Google continue as health app gatekeepers as well as distributors and developers?},
author = {Olamide Sadare and Tom Melvin and Hugh Harvey and Erik Vollebregt and Stephen Gilbert},
url = {https://www.nature.com/articles/s41746-023-00754-6},
year = {2023},
date = {2023-08-01},
journal = {npj Digital Medicine},
volume = {6},
number = {8},
keywords = {},
pubstate = {published},
tppubtype = {article}
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Welzel, Cindy; Cotte, Fabienne; BrĂŒckner, Stefanie; Lauber-Rönsberg, Anne; Muck, Jonathan; Gilbert, Stephen
Gesundheitsdaten: Paradigmenwechsel steht auch in Deutschland bevor Journal Article
In: aerzteblatt.de, vol. 120, no. 26, pp. 1162-1165, 2023.
@article{Welzel2023b,
title = {Gesundheitsdaten: Paradigmenwechsel steht auch in Deutschland bevor},
author = {Cindy Welzel and Fabienne Cotte and Stefanie BrĂŒckner and Anne Lauber-Rönsberg and Jonathan Muck and Stephen Gilbert},
url = {https://www.aerzteblatt.de/archiv/232481/Gesundheitsdaten-Paradigmenwechsel-steht-auch-in-Deutschland-bevor},
year = {2023},
date = {2023-06-01},
journal = {aerzteblatt.de},
volume = {120},
number = {26},
pages = {1162-1165},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kneis, Lukas; Rill, Maria; Alpers, Sascha; Friedewald, Michael; Beckert, Bernd; BrĂŒcklmayr, Josef; Denninger, Oliver; KrauĂ, Konstantin; Metzger, Frederik M.; Wins, Alexandra
2023.
@techreport{KneisRillAlpers2023_1000161584,
title = {AnonymitĂ€t und MobilitĂ€t - Whitepaper zum Begriffs- und DomĂ€nenverstĂ€ndnis des Kompetenzcluster ANYMOS â Anonymisierung fĂŒr vernetzte MobilitĂ€tssysteme},
author = {Lukas Kneis and Maria Rill and Sascha Alpers and Michael Friedewald and Bernd Beckert and Josef BrĂŒcklmayr and Oliver Denninger and Konstantin KrauĂ and Frederik M. Metzger and Alexandra Wins},
doi = {10.5445/IR/1000161584},
year = {2023},
date = {2023-01-01},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
Metzger, Frederik M.
Digitale GeschÀftsmodelle: Zugrundeliegende Trends und kennzeichnende Charakteristika Book
2023.
@book{Metzger_2023,
title = {Digitale GeschÀftsmodelle: Zugrundeliegende Trends und kennzeichnende Charakteristika},
author = {Frederik M. Metzger},
url = {https://publica.fraunhofer.de/handle/publica/448222},
doi = {10.24406/publica-1772},
year = {2023},
date = {2023-01-01},
institution = {Fraunhofer ISI},
keywords = {},
pubstate = {published},
tppubtype = {book}
}
Luttermann, Malte; Möller, Ralf; Gehrke, Marcel
Lifting Factor Graphs with Some Unknown Factors Proceedings Article
In: Proceedings of the Seventeenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU-2023), Springer, 2023.
@inproceedings{Luttermann2023,
title = {Lifting Factor Graphs with Some Unknown Factors},
author = {Malte Luttermann and Ralf Möller and Marcel Gehrke},
url = {https://link.springer.com/chapter/10.1007/978-3-031-45608-4_25},
year = {2023},
date = {2023-01-01},
booktitle = {Proceedings of the Seventeenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU-2023)},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Kirschte, Moritz; Peinemann, Thorsten; Stock, Joshua; Cotrini, Carlos; Mohammadi, Esfandiar
S-GBDT: Frugal Differentially Private Gradient Boosting Decision Trees Miscellaneous
2023.
@misc{kirschte2023sgbdtfrugaldifferentiallyprivate,
title = {S-GBDT: Frugal Differentially Private Gradient Boosting Decision Trees},
author = {Moritz Kirschte and Thorsten Peinemann and Joshua Stock and Carlos Cotrini and Esfandiar Mohammadi},
url = {https://arxiv.org/abs/2309.12041},
year = {2023},
date = {2023-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Sander, Jonas; Berndt, Sebastian; Bruhns, Ida; Eisenbarth, Thomas
DASH: Accelerating Distributed Private Machine Learning Inference with Arithmetic Garbled Circuits Miscellaneous
2023.
@misc{sander2023dashacceleratingdistributedprivate,
title = {DASH: Accelerating Distributed Private Machine Learning Inference with Arithmetic Garbled Circuits},
author = {Jonas Sander and Sebastian Berndt and Ida Bruhns and Thomas Eisenbarth},
url = {https://arxiv.org/abs/2302.06361},
year = {2023},
date = {2023-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Drechsler, Joerg; Haensch, Anna-Carolina
30 Years of Synthetic Data Miscellaneous
2023.
@misc{drechsler202330yearssyntheticdata,
title = {30 Years of Synthetic Data},
author = {Joerg Drechsler and Anna-Carolina Haensch},
url = {https://arxiv.org/abs/2304.02107},
year = {2023},
date = {2023-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
BrĂŒgge, Nele Sophie; Mohammadi, Esfandiar; MĂŒnchau, Alexander; BĂ€umer, Tobias; Frings, Christian; Beste, Christian; Roessner, Veit; Handels, Heinz
Towards Privacy and Utility in Tourette Tic Detection Through Pretraining Based on Publicly Available Video Data of Healthy Subjects Proceedings Article
In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.
@inproceedings{10095309,
title = {Towards Privacy and Utility in Tourette Tic Detection Through Pretraining Based on Publicly Available Video Data of Healthy Subjects},
author = {Nele Sophie BrĂŒgge and Esfandiar Mohammadi and Alexander MĂŒnchau and Tobias BĂ€umer and Christian Frings and Christian Beste and Veit Roessner and Heinz Handels},
doi = {10.1109/ICASSP49357.2023.10095309},
year = {2023},
date = {2023-01-01},
booktitle = {ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
AufschlÀger, Robert; Folz, Jakob; MÀrz, Elena; Guggumos, Johann; Heigl, Michael; Buchner, Benedikt; Schramm, Martin
Anonymization Procedures for Tabular Data: An Explanatory Technical and Legal Synthesis Journal Article
In: Information, vol. 14, no. 9, 2023, ISSN: 2078-2489.
@article{info14090487,
title = {Anonymization Procedures for Tabular Data: An Explanatory Technical and Legal Synthesis},
author = {Robert AufschlÀger and Jakob Folz and Elena MÀrz and Johann Guggumos and Michael Heigl and Benedikt Buchner and Martin Schramm},
url = {https://www.mdpi.com/2078-2489/14/9/487},
doi = {10.3390/info14090487},
issn = {2078-2489},
year = {2023},
date = {2023-01-01},
journal = {Information},
volume = {14},
number = {9},
abstract = {In the European Union, Data Controllers and Data Processors, who work with personal data, have to comply with the General Data Protection Regulation and other applicable laws. This affects the storing and processing of personal data. But some data processing in data mining or statistical analyses does not require any personal reference to the data. Thus, personal context can be removed. For these use cases, to comply with applicable laws, any existing personal information has to be removed by applying the so-called anonymization. However, anonymization should maintain data utility. Therefore, the concept of anonymization is a double-edged sword with an intrinsic trade-off: privacy enforcement vs. utility preservation. The former might not be entirely guaranteed when anonymized data are published as Open Data. In theory and practice, there exist diverse approaches to conduct and score anonymization. This explanatory synthesis discusses the technical perspectives on the anonymization of tabular data with a special emphasis on the European Unionâs legal base. The studied methods for conducting anonymization, and scoring the anonymization procedure and the resulting anonymity are explained in unifying terminology. The examined methods and scores cover both categorical and numerical data. The examined scores involve data utility, information preservation, and privacy models. In practice-relevant examples, methods and scores are experimentally tested on records from the UCI Machine Learning Repositoryâs âCensus Income (Adult)â dataset.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Miranda-Pascual, Alex; Guerra-Balboa, Patricia; Parra-Arnau, Javier; Forné, Jordi; Strufe, Thorsten
SoK: Differentially Private Publication of Trajectory Data Journal Article
In: Proceedings on Privacy Enhancing Technologies (PoPETs), 2023.
@article{miranda23sok,
title = {SoK: Differentially Private Publication of Trajectory Data},
author = {Alex Miranda-Pascual and Patricia Guerra-Balboa and Javier Parra-Arnau and Jordi Forné and Thorsten Strufe},
year = {2023},
date = {2023-01-01},
journal = {Proceedings on Privacy Enhancing Technologies (PoPETs)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}