Efficient Secure Neural Network Prediction Protocol Reducing Accuracy Degradation
Autor: | Tadanori Teruya, Takahiro Matsuda, Goichiro Hanaoka, Oba Tatsumi, Nuttapong Attrapadung, Naohisa Nishida, Yuji Unagami, Jason Paul Cruz, Naoto Yanai |
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Rok vydání: | 2020 |
Předmět: |
Artificial neural network
Computer science business.industry Applied Mathematics Signal Processing Secure multi-party computation Electrical and Electronic Engineering business Computer Graphics and Computer-Aided Design Secret sharing Protocol (object-oriented programming) Degradation (telecommunications) Computer network |
Zdroj: | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :1367-1380 |
ISSN: | 1745-1337 0916-8508 |
DOI: | 10.1587/transfun.2020tap0011 |
Databáze: | OpenAIRE |
Externí odkaz: |