CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
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Ran Gilad-Bachrach, Nathan Dowlin, Kim Laine, Kristin E. Lauter, Michael Naehrig, John Wernsing
CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
ICML, 2016.

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@inproceedings{ICML-2016-Gilad-BachrachD,
	author        = "Ran Gilad-Bachrach and Nathan Dowlin and Kim Laine and Kristin E. Lauter and Michael Naehrig and John Wernsing",
	booktitle     = "{Proceedings of the 33rd International Conference on Machine Learning}",
	ee            = "http://proceedings.mlr.press/v48/gilad-bachrach16.html",
	pages         = "201--210",
	publisher     = "{JMLR.org}",
	title         = "{CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy}",
	year          = 2016,
}

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