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The growing popularity of cloud-based machine learning raises a natural question about the privacy guarantees that can be provided in such a setting.
On data banks and privacy homomorphisms
Ronald L. Rivest, Len Adleman, and Michael L. Dertouzos · 1978
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How to generate and exchange secrets (extended abstract)
A. C. Yao · 1986
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How to play any mental game or a completeness theorem for protocols with honest majority
O. Goldreich, S. Micali, and A. Wigderson · 1987
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The knowledge complexity of interactive proof systems
Shafi Goldwasser, Silvio Micali, and Charles Rackoff · 1989
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Public-key cryptosystems based on composite degree residuosity classes
Pascal Paillier · 1999
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Extending oblivious transfers efficiently
Yuval Ishai, Joe Kilian, Kobbi Nissim, and Erez Petrank · 2003
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Polylogarithmic private approximations and efficient matching
Piotr Indyk and David P. Woodruff · 2006
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A neural network approach for credit risk evaluation
Eliana Angelini, Giacomo di Tollo, and Andrea Roli · 2008
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A fully homomorphic encryption scheme
Craig Gentry · 2009
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Efficient privacy-preserving face recognition
Ahmad-Reza Sadeghi, Thomas Schneider, and Immo Wehrenberg · 2009
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Efficient fully homomorphic encryption from (standard) lwe
Z. Brakerski and V. Vaikuntanathan · 2011
Earlier work this paper cites.
(leveled) fully homomorphic encryption without bootstrapping
Z. Brakerski, C. Gentry, and V. Vaikuntanathan · 2012
Earlier work this paper cites.
Fully homomorphic encryption without modulus switching from classical gapsvp
Zvika Brakerski · 2012
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Somewhat practical fully homomorphic encryption
Junfeng Fan and Frederik Vercauteren · 2012
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Fully homomorphic encryption with polylog overhead
Craig Gentry, Shai Halevi, and Nigel P. Smart · 2012
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton · 2012
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Efficient garbling from a fixed-key blockcipher
Mihir Bellare, Viet Tung Hoang, Sriram Keelveedhi, and Phillip Rogaway · 2013
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An implementation of homomorphic encryption, 2013
Shai Halevi and Victor Shoup · 2013
Cited alongside, same era.
Scapi: Secure computation api, 2014
Yael Ejgenberg, Moriya Farbstein, Meital Levy, and Yehuda Lindell · 2014
Cited alongside, same era.
Algorithms in HElib
Shai Halevi and Victor Shoup · 2014
Cited alongside, same era.
The spdz and mascot secure computation protocols, 2016
Ivan Damgard, Valerio Pastro, Nigel Smart, and Sarah Zacharias · 2016
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Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy
Ran Gilad-Bachrach, Nathan Dowlin, Kim Laine, Kristin E. Lauter, Michael Naehrig, and John Wernsing · 2016
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Fast and portable oblivious transfer extension, 2016
Peter Rindal · 2016
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Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
Gulshan V, Peng L, Coram M, and et al · 2016
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Tfhe: Fast fully homomorphic encryption over the torus, 2017
Ilaria Chillotti, Nicolas Gama, Maria Georgieva, and Malika Izabachene · 2017
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Dermatologist-level classification of skin cancer with deep neural networks
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Karen Simonyan and Andrew Zisserman · 2014
Cited alongside, same era.
On the concrete hardness of learning with errors
Martin R Albrecht, Rachel Player, and Sam Scott · 2015
Cited alongside, same era.
ABY - A framework for efficient mixed-protocol secure two-party computation
Daniel Demmler, Thomas Schneider, and Michael Zohner · 2015
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
Cited alongside, same era.
Facenet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin · 2015
Cited alongside, same era.
Going deeper with convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2015
Cited alongside, same era.
Andre Esteva, Brett Kuprel, Roberto A. Novoa, Justin Ko, Susan M. Swetter, Helen M. Blau, and Sebastian Thrun · 2017
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Presentation at the Homomorphic Encryption Standardization Workshop, Redmond, WA, July 2017
Shai Halevi and Victor Shoup, 2017 · 2017
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Oblivious neural network predictions via minionn transformations
Jian Liu, Mika Juuti, Yao Lu, and N. Asokan · 2017
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Secureml: A system for scalable privacy-preserving machine learning
Payman Mohassel and Yupeng Zhang · 2017
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Chameleon: A hybrid secure computation framework for machine learning applications
M. Sadegh Riazi, Christian Weinert, Oleksandr Tkachenko, Ebrahim M. Songhori, Thomas Schneider, and Farinaz Koushanfar · 2017
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The PALISADE Lattice Cryptography Library
Kurt Rohloff and Yuriy Polyakov · 2017
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Deepsecure: Scalable provably-secure deep learning
Bita Darvish Rouhani, M. Sadegh Riazi, and Farinaz Koushanfar · 2017
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Efficient processing of deep neural networks: A tutorial and survey
Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, and Joel S. Emer · 2017
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