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Conference Paper

Gradient-Leaks: Understanding Deanonymization in Federated Learning

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Orekondy,  Tribhuvanesh
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

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Oh,  Seong Joon
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

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Schiele,  Bernt
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

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Citation

Orekondy, T., Oh, S. J., Zhang, Y., Schiele, B., & Fritz, M. (in press). Gradient-Leaks: Understanding Deanonymization in Federated Learning. In The 2nd International Workshop on Federated Learning for Data Privacy and Confidentiality (in Conjunction with NeurIPS 2019). federated-learning.org.


Cite as: http://hdl.handle.net/21.11116/0000-0005-8E47-C
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