SecMPNN: 3-Party Privacy-Preserving Molecular Structure Properties Inference-Reference-Cited by-同舟云学术

SecMPNN: 3-Party Privacy-Preserving Molecular Structure Properties Inference

Published:2022-05-23 Issue: Volume: Page:
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Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Liao Xinying¹,Xue Jiaye¹,Yu Shengxing²,Liu Ximeng¹,Shu Jiangang³

Affiliation:

1. Fuzhou University,College of Computer and Data Science,Fuzhou,China,350108

2. Peking University,School of Electronics Engineering and Computer Science,China

3. Peng Cheng Laboratory,Cyberspace Security Research Center,Shenzhen

Funder

Research and Development

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Publisher

IEEE

Link

Reference22 articles.

4. Efficient multiparty protocols using circuit randomization;beaver;Annual International Cryptology Conference,1991

5. Crypten: Secure multi-party computation meets machine learning;knott,2021

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2. Securely and Efficiently Outsourcing Neural Network Inference via Parallel MSB Extraction;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14