A Linear Distinguisher and its Application for Analyzing Privacy-Preserving Transformation Used in Verifiable (Outsourced) Computation-Reference-Cited by-同舟云学术

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A Linear Distinguisher and its Application for Analyzing Privacy-Preserving Transformation Used in Verifiable (Outsourced) Computation

Published:2018-05-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 on Asia Conference on Computer and Communications Security
language:
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Author:

Zhao Liang¹,Chen Liqun²

Affiliation:

1. Sichuan University, Chengdu, China

2. University of Surrey, Guildford, United Kingdom

Funder

the International Visiting Program for Excellent Young Scholars of SCU

the Doctoral Fund, Ministry of Education, China

the National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3196494.3196505

Reference8 articles.

1. On the Security of Randomized Arithmetic Codes Against Ciphertext-Only Attacks

2. Outsourcing large matrix inversion computation to a public cloud;Lei X.-Y.;IEEE Transactions on Cloud Computing.,2013

3. Achieving security, robust cheating resistance, and high-efficiency for outsourcing large matrix multiplication computation to a malicious cloud

4. Efficient Secure Outsourcing of Large-scale Quadratic Programs

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Privacy Preservation in Verifiable Computation through Random Permutation Masking to Prevent Leakage;Information;2023-11-06

2. Privacy-Preserving Transformation Used in Verifiable (Outsourced) Computation, Revisited;IEEE Transactions on Dependable and Secure Computing;2023

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