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Neue Publikationen
Privacy-Preserving Stress Detection Using Smartwatch Health Data
Privacy-Preserving Sentiment Analysis on Twitter
Using Differential Equation Inspired Machine Learning for Valve Faults Prediction
Privacy at Risk: Exploiting Similarities in Health Data for Identity Inference
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M. Gladbach's Publikationen (3)
Franke, Martin
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Gladbach, Marcel
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Sehili, Ziad
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Rohde, Florens
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Rahm, Erhard
ScaDS Research on Scalable Privacy-preserving Record Linkage
Datenbank-Spektrum
2019-02
Franke, Martin
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Sehili, Ziad
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Gladbach, Marcel
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Rahm, Erhard
Post-processing Methods for High Quality Privacy-Preserving Record Linkage
Data Privacy Management, Cryptocurrencies and Blockchain Technology. DPM 2018, CBT 2018. pp. 263--278. Lecture Notes in Computer Science, vol 11025. Springer
2018-09
Gladbach, Marcel
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Sehili, Ziad
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Kudraß, Thomas
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Christen, Peter
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Rahm, Erhard
Distributed Privacy-Preserving Record Linkage using Pivot-based Filter Techniques
Proceedings of the 2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW), pp. 33-38, 2018
2018-04