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Deep Learning as a Service (DLaaS) stands as a promising solution for cloud-based inference applications.
On data banks and privacy homomorphisms
Ronald L Rivest, Len Adleman, and Michael L Dertouzos · 1978
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The MNIST database of handwritten digits, 1998
Yann LeCun, Corinna Cortes, and Christopher J.C. Burges · 1998
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Ntl, a library for doing number theory, version 5.4, 2005
Victor Shoup et al · 2005
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Fully homomorphic encryption using ideal lattices
Craig Gentry · 2009
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Learning multiple layers of features from tiny images
Alex Krizhevsky and Geoffrey Hinton · 2009
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On ideal lattices and learning with errors over rings
Vadim Lyubashevsky, Chris Peikert, and Oded Regev · 2010
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Cloud computing-concepts, architecture and challenges
Yashpalsinh Jadeja and Kirit Modi · 2012
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton · 2012
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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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ML confidential: Machine learning on encrypted data
Thore Graepel, Kristin Lauter, and Michael Naehrig · 2013
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Improved security for a ring-based fully homomorphic encryption scheme
Joppe W. Bos, Kristin Lauter, Jake Loftus, and Michael Naehrig · 2013
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Estimating or propagating gradients through stochastic neurons for conditional computation
Yoshua Bengio, Nicholas Léonard, and Aaron C. Courville · 2013
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Regularization of neural networks using dropconnect
Li Wan, Matthew Zeiler, Sixin Zhang, Yann Le Cun, and Rob Fergus · 2013
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Fully homomorphic simd operations
N. P. Smart and F. Vercauteren · 2014
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Benjamin Graham · 2014
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Algorithms, key size and parameters report
Nigel P Smart, Vincent Rijmen, B Gierlichs, KG Paterson, M Stam, B Warinschi, and G Watson · 2014
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A comparison of the homomorphic encryption schemes fv and yashe
Tancrede Lepoint and Michael Naehrig · 2014
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Encrypted statistical machine learning: new privacy preserving methods
Louis J. M. Aslett, Pedro M. Esperança, and Chri. C. Holmes · 2015
A full rns variant of fv like somewhat homomorphic encryption schemes
Jean-Claude Bajard, Julien Eynard, M Anwar Hasan, and Vincent Zucca · 2016
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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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Efficient multi-scale 3d cnn with fully connected crf for accurate brain lesion segmentation
Konstantinos Kamnitsas, Christian Ledig, Virginia F.J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Daniel Rueckert, and Ben Glocker · 2017
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http://sealcrypto.org , 2017
Simple Encrypted Arithmetic Library (release 2.3.1) · 2017
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Cryptodl: Deep neural networks over encrypted data
Ehsan Hesamifard, Hassan Takabi, and Mehdi Ghasemi · 2017
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Striving for simplicity: The all convolutional net
J.T. Springenberg, A. Dosovitskiy, T. Brox, and M. Riedmiller · 2015
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On the concrete hardness of learning with errors
Martin R Albrecht, Rachel Player, and Sam Scott · 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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A subfield lattice attack on overstretched NTRU assumptions - cryptanalysis of some FHE and graded encoding schemes
Martin R. Albrecht, Shi Bai, and Léo Ducas · 2016
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Faster fully homomorphic encryption: Bootstrapping in less than 0.1 seconds
Ilaria Chillotti, Nicolas Gama, Mariya Georgieva, and Malika Izabachène · 2016
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Tensorpack
Yuxin Wu et al · 2016
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Fast homomorphic evaluation of deep discretized neural networks
Florian Bourse, Michele Minelli, Matthias Minihold, and Pascal Paillier · 2018
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Secure outsourced matrix computation and application to neural networks
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GAZELLE: A low latency framework for secure neural network inference
Chiraag Juvekar, Vinod Vaikuntanathan, and Anantha Chandrakasan · 2018
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High-performance FV somewhat homomorphic encryption on GPUs: An implementation using CUDA
Ahmad Al Badawi, Bharadwaj Veeravalli, Chan Fook Mun, and Khin Mi Mi Aung · 2018
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An improved RNS variant of the BFV homomorphic encryption scheme
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Implementation and performance evaluation of RNS variants of the BFV homomorphic encryption scheme
Ahmad Al Badawi, Yuriy Polyakov, Khin Mi Mi Aung, Bharadwaj Veeravalli, and Kurt Rohloff · 2018
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Faster cryptonets: Leveraging sparsity for real-world encrypted inference
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DELPHI: A cryptographic inference service for neural networks
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