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Conference Paper

DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning

MPS-Authors
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Harder,  Frederik
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Köhler,  Jonas
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Park,  Mijung
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Citation

Harder, F., Köhler, J., Welling, M., & Park, M. (2018). DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning. In Workshop on Privacy Preserving Machine Learning. Retrieved from https://ppml-workshop.github.io/ppml/ppml18/index.html#papers.


Cite as: http://hdl.handle.net/21.11116/0000-0003-C22E-F
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