THE-V: Verifiable Privacy-Preserving Neural Network via Trusted Homomorphic Execution-Reference-Cited by-同舟云学术

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THE-V: Verifiable Privacy-Preserving Neural Network via Trusted Homomorphic Execution

Published:2023-10-28 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)
language:
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Author:

Wei Yuntao¹,Wang Xueyan¹,Bian Song²,Zhao Weisheng¹,Jin Yier³

Affiliation:

1. School of Integrated Circuit Science and Engineering, Beihang University,Beijing,China

2. School of Cyber Science and Technology, Beihang University,Beijing,China

3. School of Cyber Science and Technology, University of Science and Technology of China,Hefei,China

Funder

National Natural Science Foundation of China

CCF-Huawei Populus euphratica project

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10323590/10323543/10323851.pdf?arnumber=10323851

Reference54 articles.

1. Rinocchio: snarks for ring arithmetic;ganesh;Cryptology ePrint Archive,2021

2. Flexible and Efficient Verifiable Computation on Encrypted Data

3. Verifiable fully homomorphic encryption;viand;ArXiv Preprint,2023

4. Intel SGX explained;costan;Cryptology ePrint Archive,2016

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