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Fully Homomorphic Encryption (FHE) refers to a set of encryption schemes that allow computations to be applied directly on encrypted data without requiring a secret key.
Some computer organizations and their effectiveness
Michael J Flynn · 1972
Earlier work this paper cites.
A fully homomorphic encryption scheme
Craig Gentry and Dan Boneh · 2009
Earlier work this paper cites.
On ideal lattices and learning with errors over rings
Vadim Lyubashevsky, Chris Peikert, and Oded Regev · 2010
Earlier work this paper cites.
Somewhat practical fully homomorphic encryption
Junfeng Fan and Frederik Vercauteren · 2012
Earlier work this paper cites.
Using innovative instructions to create trustworthy software solutions
Matthew Hoekstra, Reshma Lal, Pradeep Pappachan, Vinay Phegade, and Juan Del Cuvillo · 2013
Earlier work this paper cites.
Mrcrypt: static analysis for secure cloud computations
Sai Deep Tetali, Mohsen Lesani, Rupak Majumdar, and Todd D. Millstein · 2013
Earlier work this paper cites.
(Leveled) fully homomorphic encryption without bootstrapping
Zvika Brakerski, Craig Gentry, and Vinod Vaikuntanathan · 2014
Earlier work this paper cites.
Armadillo: a compilation chain for privacy preserving applications
Sergiu Carpov, Paul Dubrulle, and Renaud Sirdey · 2014
Earlier work this paper cites.
Intel software guard extensions (Intel SGX), ref. 332680-002
Intel Corp · 2015
Earlier work this paper cites.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
Cited alongside, same era.
Jcrypt: Towards computation over encrypted data
Yao Dong, Ana Milanova, and Julian Dolby · 2016
Cited alongside, same era.
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
Cited alongside, same era.
Squeezenet: Alexnet-level accuracy with 50x fewer parameters and <1mb model size
Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Song Han, William J. Dally, and Kurt Keutzer · 2016
Cited alongside, same era.
A survey on homomorphic encryption schemes: Theory and implementation
Abbas Acar, Hidayet Aksu, A. Selcuk Uluagac, and Mauro Conti · 2017
Cited alongside, same era.
Optimizing relinearization in circuits for homomorphic encryption
Hao Chen · 2017
Later among the works it cites.
Homomorphic encryption for arithmetic of approximate numbers
Jung Hee Cheon, Andrey Kim, Miran Kim, and Yongsoo Song · 2017
Later among the works it cites.
Simple encrypted arithmetic library 2.3.1
Kim Laine · 2017
Later among the works it cites.
Secureml: A system for scalable privacy-preserving machine learning
P. Mohassel and Y. Zhang · 2017
Later among the works it cites.
Deepsecure: Scalable provably-secure deep learning
Bita Darvish Rouhani, M. Sadegh Riazi, and Farinaz Koushanfar · 2017
Later among the works it cites.
A multi-start heuristic for multiplicative depth minimization of boolean circuits
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A full RNS variant of FV like somewhat homomorphic encryption schemes
Jean-Claude Bajard, Julien Eynard, M. Anwar Hasan, and Vincent Zucca · 2017
Cited alongside, same era.
Optimization of bootstrapping in circuits
Fabrice Benhamouda, Tancrède Lepoint, Claire Mathieu, and Hang Zhou · 2017
Cited alongside, same era.
Fast homomorphic evaluation of deep discretized neural networks
Florian Bourse, Michele Minelli, Matthias Minihold, and Pascal Paillier · 2017
Cited alongside, same era.
Privacy-preserving classification on deep neural network
Hervé Chabanne, Amaury de Wargny, Jonathan Milgram, Constance Morel, and Emmanuel Prouff · 2017
Cited alongside, same era.
https://www.cs.toronto.edu/~kriz/cifar.html
The CIFAR-10 dataset
Cited in the paper.
https://github.com/CEA-LIST/Cingulata/
Cingulata
Cited in the paper.
http://yann.lecun.com/exdb/mnist/
The MNIST database of handwritten digits
Cited in the paper.
Sergiu Carpov, Pascal Aubry, and Renaud Sirdey · 2018
Closest in time.
Bootstrapping for approximate homomorphic encryption
Jung Hee Cheon, Kyoohyung Han, Andrey Kim, Miran Kim, and Yongsoo Song · 2018
Closest in time.
Tfhe: Fast fully homomorphic encryption over the torus
Ilaria Chillotti, Nicolas Gama, Mariya Georgieva, and Malika Izabachène · 2018
Closest in time.