Towards Private Medical Data Donations by Using Privacy Preserving Technologies-Reference-Cited by-同舟云学术

Towards Private Medical Data Donations by Using Privacy Preserving Technologies

Published:2022-06-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments
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Author:

Appenzeller Arno¹,Terzer Nick¹,Krempel Erik²,Beyerer Jürgen²

Affiliation:

1. Karlsruhe Institute of Technology, Germany

2. Fraunhofer IOSB, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3529190.3534768

Reference22 articles.

1. Deep Learning with Differential Privacy

2. Yves-Alexandre de Montjoye et al.2013. Unique in the Crowd: The privacy bounds of human mobility. Scientific Reports 3(2013). Yves-Alexandre de Montjoye et al.2013. Unique in the Crowd: The privacy bounds of human mobility. Scientific Reports 3(2013).

3. Using Cadence to Predict the Walk-to-Run Transition in Children and Adolescents: A Logistic Regression Approach

4. Cynthia Dwork , Frank McSherry , Kobbi Nissim , and Adam Smith . 2006. Calibrating noise to sensitivity in private data analysis . In Theory of cryptography conference . Springer , 265–284. Cynthia Dwork, Frank McSherry, Kobbi Nissim, and Adam Smith. 2006. Calibrating noise to sensitivity in private data analysis. In Theory of cryptography conference. Springer, 265–284.

5. The algorithmic foundations of differential privacy.Found;Dwork Cynthia;Trends Theor. Comput. Sci.,2014

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