Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities
Published 2021 View Full Article
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Title
Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities
Authors
Keywords
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Journal
Peer-to-Peer Networking and Applications
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-03-09
DOI
10.1007/s12083-021-01076-8
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Note: Only part of the references are listed.- Positional Characteristics for Efficient Number Comparison over the Homomorphic Encryption
- (2020) M. Babenko et al. PROGRAMMING AND COMPUTER SOFTWARE
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- (2018) Qiming Zheng et al. IEEE Access
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- (2018) Abbas Acar et al. ACM COMPUTING SURVEYS
- Logistic regression model training based on the approximate homomorphic encryption
- (2018) Andrey Kim et al. BMC Medical Genomics
- Private naive bayes classification of personal biomedical data: Application in cancer data analysis
- (2018) Alexander Wood et al. COMPUTERS IN BIOLOGY AND MEDICINE
- A Secure Face-Verification Scheme Based on Homomorphic Encryption and Deep Neural Networks
- (2017) Yukun Ma et al. IEEE Access
- SHIELD: Scalable Homomorphic Implementation of Encrypted Data-Classifiers
- (2016) Alhassan Khedr et al. IEEE TRANSACTIONS ON COMPUTERS
- Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning
- (2016) Qingchen Zhang et al. IEEE TRANSACTIONS ON COMPUTERS
- Towards understanding uncertainty in cloud computing with risks of confidentiality, integrity, and availability
- (2016) Andrei Tchernykh et al. Journal of Computational Science
- Private predictive analysis on encrypted medical data
- (2014) Joppe W. Bos et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Recent Advances in Homomorphic Encryption: A Possible Future for Signal Processing in the Encrypted Domain
- (2013) Carlos Aguilar-Melchor et al. IEEE SIGNAL PROCESSING MAGAZINE
- Computing arbitrary functions of encrypted data
- (2010) Craig Gentry COMMUNICATIONS OF THE ACM
- Mapping and sequencing of structural variation from eight human genomes
- (2008) Jeffrey M. Kidd et al. NATURE
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