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Billions of text analysis requests containing private emails, personal text messages, and sensitive online reviews, are processed by recurrent neural networks (RNNs) deployed on public clouds every day.
Privft: Private and fast text classification with homomorphic encryption
Ahmad Al Badawi, Luong Hoang, Chan Fook Mun, Kim Laine, and Khin Mi Mi Aung. 2019 · 1908
Earlier work this paper cites.
How to generate and exchange secrets
Andrew Chi-Chih Yao. 1986 · 1986
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The enron corpus: A new dataset for email classification research
Bryan Klimt and Yiming Yang. 2004 · 2004
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Fully homomorphic encryption using ideal lattices
Craig Gentry et al. 2009 · 2009
Earlier work this paper cites.
Privacy-preserving ecg classification with branching programs and neural networks
Mauro Barni, Pierluigi Failla, Riccardo Lazzeretti, Ahmad-Reza Sadeghi, and Thomas Schneider. 2011 · 2011
Earlier work this paper cites.
Learning word vectors for sentiment analysis
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts. 2011 · 2011
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Fully homomorphic encryption without modulus switching from classical gapsvp
Zvika Brakerski. 2012 · 2012
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Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Çaglar Gülçehre, KyungHyun Cho, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
Cited alongside, same era.
A simple way to initialize recurrent networks of rectified linear units
Quoc V Le, Navdeep Jaitly, and Geoffrey E Hinton. 2015 · 2015
Cited alongside, same era.
Smart reply: Automated response suggestion for email
Anjuli Kannan, Karol Kurach, Sujith Ravi, Tobias Kaufmann, Andrew Tomkins, Balint Miklos, Greg Corrado, Laszlo Lukacs, Marina Ganea, Peter Young, et al. 2016 · 2016
Cited alongside, same era.
Oblivious multi-party machine learning on trusted processors
Olga Ohrimenko, Felix Schuster, Cédric Fournet, Aastha Mehta, Sebastian Nowozin, Kapil Vaswani, and Manuel Costa. 2016 · 2016
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 · 2018
Later among the works it cites.
Deepsecure: Scalable provably-secure deep learning
Bita Darvish Rouhani, M Sadegh Riazi, and Farinaz Koushanfar. 2018 · 2018
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She: A fast and accurate deep neural network for encrypted data
Qian Lou and Lei Jiang. 2019 · 2019
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Cryptornn-privacy-preserving recurrent neural networks using homomorphic encryption
Maya Bakshi and Mark Last. 2020 · 2020
Closest in time.
Tfhe: fast fully homomorphic encryption over the torus
Ilaria Chillotti, Nicolas Gama, Mariya Georgieva, and Malika Izabachène. 2020 · 2020
Closest in time.
Privacy-preserving phishing web page classification via fully homomorphic encryption
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Cited alongside, same era.
{ \{ GAZELLE } \} : A low latency framework for secure neural network inference
Chiraag Juvekar, Vinod Vaikuntanathan, and Anantha Chandrakasan. 2018 · 2018
Cited alongside, same era.
Light gated recurrent units for speech recognition
M. Ravanelli, P. Brakel, M. Omologo, and Y. Bengio. 2018 · 2018
Cited alongside, same era.
Edward J Chou, Arun Gururajan, Kim Laine, Nitin Kumar Goel, Anna Bertiger, and Jack W Stokes. 2020 · 2020
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Classification of encrypted word embeddings using recurrent neural networks
Robert Podschwadt and Daniel Takabi. 2020 · 2020
Closest in time.