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When applying machine learning to sensitive data, one has to find a balance between accuracy, information security, and computational-complexity.
Protocols for secure computations
Andrew C Yao · 1982
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How to play any mental game
Oded Goldreich, Silvio Micali, and Avi Wigderson · 1987
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One-shot learning of object categories
Li Fei-Fei, Rob Fergus, and Pietro Perona · 2006
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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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Mnist handwritten digit database. at&t labs, 2010
Yann LeCun, Corinna Cortes, and Christopher JC Burges · 2010
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Somewhat practical fully homomorphic encryption
Junfeng Fan and Frederik Vercauteren · 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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Innovative instructions and software model for isolated execution
Frank McKeen, Ilya Alexandrovich, Alex Berenzon, Carlos V Rozas, Hisham Shafi, Vedvyas Shanbhogue, and Uday R Savagaonkar · 2013
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Efficient fully homomorphic encryption from (standard) lwe
Zvika Brakerski and Vinod Vaikuntanathan · 2014
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(leveled) fully homomorphic encryption without bootstrapping
Zvika Brakerski, Craig Gentry, and Vinod Vaikuntanathan · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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How transferable are features in deep neural networks?
Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson · 2014
Cited alongside, same era.
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
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Ahmad Al Badawi, Jin Chao, Jie Lin, Chan Fook Mun, Sim Jun Jie, Benjamin Hong Meng Tan, Xiao Nan, Khin Mi Mi Aung, and Vijay Ramaseshan Chandrasekhar · 2018
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ngraph-he: A graph compiler for deep learning on homomorphically encrypted data
Fabian Boemer, Yixing Lao, and Casimir Wierzynski · 2018
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Sgxpectre attacks: Leaking enclave secrets via speculative execution
Guoxing Chen, Sanchuan Chen, Yuan Xiao, Yinqian Zhang, Zhiqiang Lin, and Ten H Lai · 2018
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Faster cryptonets: Leveraging sparsity for real-world encrypted inference
Edward Chou, Josh Beal, Daniel Levy, Serena Yeung, Albert Haque, and Li Fei-Fei · 2018
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Convolutional neural networks for medical image analysis: Full training or fine tuning?
Nima Tajbakhsh, Jae Y Shin, Suryakanth R Gurudu, R Todd Hurst, Christopher B Kendall, Michael B Gotway, and Jianming Liang · 2016
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.
Homomorphic encryption for arithmetic of approximate numbers
Jung Hee Cheon, Andrey Kim, Miran Kim, and Yongsoo Song · 2017
Cited alongside, same era.
Manual for using homomorphic encryption for bioinformatics
Nathan Dowlin, Ran Gilad-Bachrach, Kim Laine, Kristin Lauter, Michael Naehrig, and John Wernsing · 2017
Cited alongside, same era.
Homomorphic encryption standard
Martin Albrecht, Melissa Chase, Hao Chen, Jintai Ding, Shafi Goldwasser, Sergey Gorbunov, Jeffrey Hoffstein, Kristin Lauter, Satya Lokam, Daniele Micciancio, et al · 2018
Cited alongside, same era.
Chiraag Juvekar, Vinod Vaikuntanathan, and Anantha Chandrakasan · 2018
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Spectre returns! speculation attacks using the return stack buffer
Esmaeil Mohammadian Koruyeh, Khaled Khasawneh, Chengyu Song, and Nael Abu-Ghazaleh · 2018
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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 · 2018
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Tapas: Tricks to accelerate (encrypted) prediction as a service
Amartya Sanyal, Matt J Kusner, Adrià Gascón, and Varun Kanade · 2018
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Slalom: Fast, verifiable and private execution of neural networks in trusted hardware
Florian Tramer and Dan Boneh · 2018
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Epic: efficient private image classification (or: learning from the masters)
Eleftheria Makri, Dragos Rotaru, Nigel P Smart, and Frederik Vercauteren · 2019
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