PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment-Reference-Cited by-同舟云学术

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PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment

Published:2023-07-09 Issue: Volume: Page:
ISSN:
Container-title:2023 60th ACM/IEEE Design Automation Conference (DAC)
language:
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Author:

Peng Hongwu¹,Zhou Shanglin¹,Luo Yukui²,Xu Nuo³,Duan Shijin²,Ran Ran³,Zhao Jiahui¹,Wang Chenghong⁴,Geng Tong⁵,Wen Wujie³,Xu Xiaolin²,Ding Caiwen¹

Affiliation:

1. University of Connecticut,USA

2. Northeastern University,USA

3. Lehigh University,USA

4. Duke University,USA

5. University of Rochester,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10247654/10247655/10247663.pdf?arnumber=10247663

Reference29 articles.

1. CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU

2. Soteria: In search of efficient neural networks for private inference;aggarwal,2020

3. Founding crytpography on oblivious transfer;kilian;STOC,1988

4. Azure machine learning;barnes;Microsoft Azure Essentials,2015

5. Safenet: A secure, accurate and fast neural network inference;lou;ICML,2020

Cited by 1 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. NEUROSEC: FPGA-Based Neuromorphic Audio Security;Lecture Notes in Computer Science;2024

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