When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control

Type: Preprint

Publication Date: 2020-01-01

Citations: 6

DOI: https://doi.org/10.48550/arxiv.2008.08753

Locations

  • arXiv (Cornell University) - View - PDF
  • DataCite API - View

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Works Cited by This (13)

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+ Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption 2017 Stephen Hardy
Wilko Henecka
Hamish Ivey-Law
Richard Nock
Giorgio Patrini
Guillaume Smith
Brian Thorne
+ PrivPy: Enabling Scalable and General Privacy-Preserving Machine Learning 2018 Yi Li
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+ Towards the AlexNet Moment for Homomorphic Encryption: HCNN, theFirst Homomorphic CNN on Encrypted Data with GPUs 2018 Ahmad Al Badawi
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Chan Fook Mun
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Benjamin Hong Meng Tan
Nan Xiao
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+ Secure Computation for Machine Learning With SPDZ 2019 Valerie Chen
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+ Encrypted accelerated least squares regression 2017 Pedro M. Esperança
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+ PDF Chat Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud 2019 Yalin Zhang
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+ Quantification of the Leakage in Federated Learning 2019 Zhaorui Li
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