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Machine learning algorithms have achieved remarkable results and are widely applied in a variety of domains.
How to generate and exchange secrets
Andrew Chi-Chih Yao · 1986
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Mnist handwritten digit database
Yann LeCun, Corinna Cortes, and CJ Burges · 2010
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Somewhat practical fully homomorphic encryption
Junfeng Fan and Frederik Vercauteren · 2012
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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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Algorithms in helib
Shai Halevi and Victor Shoup · 2014
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Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy
Ran Gilad-Bachrach, Nathan Dowlin, Kim Laine, Kristin Lauter, Michael Naehrig, and John Wernsing · 2016
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Cnns in practice. convolutional neural networks for visual recognitio
Justin Johnson, Fei-Fei Li, and Andrej Karpathy · 2016
Cited alongside, same era.
Homomorphic encryption for arithmetic of approximate numbers
Jung Hee Cheon, Andrey Kim, Miran Kim, and Yongsoo Song · 2017
Cited alongside, same era.
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
Cited alongside, same era.
Secure outsourced matrix computation and application to neural networks
Xiaoqian Jiang, Miran Kim, Kristin Lauter, and Yongsoo Song · 2018
Cited alongside, same era.
{ \{ GAZELLE } \} : A low latency framework for secure neural network inference
Chiraag Juvekar, Vinod Vaikuntanathan, and Anantha Chandrakasan · 2018
Cited alongside, same era.
ngraph-he2: A high-throughput framework for neural network inference on encrypted data
Mobilenetv2: Inverted residuals and linear bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen · 2018
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Towards the alexnet moment for homomorphic encryption: Hcnn, the first homomorphic cnn on encrypted data with gpus
Ahmad Al Badawi, Jin Chao, Jie Lin, Chan Fook Mun, Jun Jie Sim, Benjamin Hong Meng Tan, Xiao Nan, Khin Mi Mi Aung, and Vijay Ramaseshan Chandrasekhar · 2020
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New challenges for fully homomorphic encryption
Ilaria Chillotti, Marc Joye, and Pascal Paillier · 2020
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Microsoft SEAL (release 3.6)
Microsoft SEAL · 2020
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TenSEAL (release 0.3.0)
TenSEAL · 2021
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Fabian Boemer, Anamaria Costache, Rosario Cammarota, and Casimir Wierzynski
Cited in the paper.
ngraph-he: a graph compiler for deep learning on homomorphically encrypted data
Fabian Boemer, Yixing Lao, Rosario Cammarota, and Casimir Wierzynski
Cited in the paper.
Tfhe: fast fully homomorphic encryption over the torus
Ilaria Chillotti, Nicolas Gama, Mariya Georgieva, and Malika Izabachène
Cited in the paper.
Protocol buffers – Google’s data interchange format
Protocol buffers
Cited in the paper.