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Big data is one of the cornerstones to enabling and training deep neural networks (DNNs).
MNIST Handwritten Digit Database
Yann LeCun, Corinna Cortes, and CJ Burges · 2010
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Convolutional neural networks applied to house numbers digit classification
Pierre Sermanet, Soumith Chintala, and Yann LeCun · 2012
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Algorithms in HElib
Shai Halevi and Victor Shoup · 2014
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How transferable are features in deep neural networks?
Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson · 2014
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Learning and transferring mid-level image representations using convolutional neural networks
Maxime Oquab, Leon Bottou, Ivan Laptev, and Josef Sivic · 2014
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The cifar-10 dataset, 2014
Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton · 2014
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Private Genome Analysis Through Homomorphic Encryption
Miran Kim and Kristin Lauter · 2015
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Which ring based somewhat homomorphic encryption scheme is best?
Anamaria Costache and Nigel P. Smart · 2015
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CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
Nathan Dowlin, Ran Gilad-Bachrach, Kim Laine, Kristin Lauter, Michael Naehrig, and John Wernsing · 2016
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TFHE: Fast Fully Homomorphic Encryption Library, August 2016
Ilaria Chillotti, Nicolas Gama, Mariya Georgieva, and Malika Izabachène · 2016
Cited alongside, same era.
Stephen Hardy, Wilko Henecka, Hamish Ivey-Law, Richard Nock, Giorgio Patrini, Guillaume Smith, and Brian Thorne · 2017
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Simple encrypted arithmetic library-SEAL v2.1
Hao Chen, Kim Laine, and Rachel Player · 2017
Cited alongside, same era.
Epic: Efficient private image classification (or: Learning from the masters)
Eleftheria Makri, Dragos Rotaru, Nigel P. Smart, and Frederik Vercauteren · 2017
Cited alongside, same era.
TFHE: Fast Fully Homomorphic Encryption over the Torus
Ilaria Chillotti, Nicolas Gama, Mariya Georgieva, and Malika Izabachène · 2018
Cited alongside, same era.
The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
Philipp Tschandl, Cliff Rosendahl, and Harald Kittler · 2018
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Doing Real Work with FHE: The Case of Logistic Regression
Jack L. H. Crawford, Craig Gentry, Shai Halevi, Daniel Platt, and Victor Shoup · 2018
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Towards Deep Neural Network Training on Encrypted Data
Karthik Nandakumar, Nalini Ratha, Sharath Pankanti, and Shai Halevi · 2019
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QUOTIENT: Two-Party Secure Neural Network Training and Prediction
Nitin Agrawal, Ali Shahin Shamsabadi, Matt J. Kusner, and Adrià Gascón · 2019
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Non-interactive mpc with trusted hardware secure against residual function attacks
Ryan Karl, Timothy Burchfield, Jonathan Takeshita, and Taeho Jung · 2019
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HElib: an Implementation of homomorphic encryption
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Bootstrapping for Approximate Homomorphic Encryption
Jung Hee Cheon, Kyoohyung Han, Andrey Kim, Miran Kim, and Yongsoo Song · 2018
Cited alongside, same era.
Chimera: Combining ring-lwe-based fully homomorphic encryption schemes
Christina Boura, Nicolas Gama, Mariya Georgieva, and Dimitar Jetchev · 2018
Cited alongside, same era.
Recent advances in convolutional neural networks
Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang, Jianfei Cai, et al · 2018
Cited alongside, same era.
Flavio Bergamaschi · 2019
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Low Latency Privacy Preserving Inference
Alon Brutzkus et al · 2019
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SWALP : Stochastic weight averaging in low precision training
Guandao Yang, Tianyi Zhang, Polina Kirichenko, Junwen Bai, Andrew Gordon Wilson, and Chris De Sa · 2019
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