Secure Softmax/Sigmoid for Machine-learning Computation-Reference-Cited by-同舟云学术

Secure Softmax/Sigmoid for Machine-learning Computation

Published:2023-12-04 Issue: Volume: Page:
ISSN:
Container-title:Annual Computer Security Applications Conference
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Author:

Zheng Yu¹^ORCID,Zhang Qizhi²^ORCID,Chow Sherman S. M.¹^ORCID,Peng Yuxiang³^ORCID,Tan Sijun⁴^ORCID,Li Lichun⁵^ORCID,Yin Shan⁵^ORCID

Affiliation:

1. Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong

2. Ant Group & ByteDance, China

3. Northeastern University, China

4. University of California, Berkeley, USA

5. Morse Team, Ant Group, China

Funder

Research Grants Council, University Grants Committee

Publisher

ACM

Reference40 articles.

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2. Christina Boura Ilaria Chillotti Nicolas Gama Dimitar Jetchev Stanislav Peceny and Alexander Petric. 2018. High-Precision Privacy-Preserving Real-Valued Function Evaluation. In FC. 183–202. Christina Boura Ilaria Chillotti Nicolas Gama Dimitar Jetchev Stanislav Peceny and Alexander Petric. 2018. High-Precision Privacy-Preserving Real-Valued Function Evaluation. In FC. 183–202.

3. John Charles Butcher . 2016. Numerical Methods for Ordinary Differential Equations . John Wiley & Sons , New Zealand . John Charles Butcher. 2016. Numerical Methods for Ordinary Differential Equations. John Wiley & Sons, New Zealand.

4. Paul L. Butzer and Rolf J. Nessel . 1971. Fourier Analysis and Approximation: One Dimensional Theory . Birkhäuser Basel , Switzerland . Paul L. Butzer and Rolf J. Nessel. 1971. Fourier Analysis and Approximation: One Dimensional Theory. Birkhäuser Basel, Switzerland.

5. Yuanfeng Chen , Gaofeng Huang , Junjie Shi , Xiang Xie , and Yilin Yan . 2020 . Rosetta: A Privacy-Preserving Framework Based on TensorFlow. https://github.com/LatticeX-Foundation/Rosetta. Also presented at the Privacy Preserving Machine Learning Workshop at ACM CCS 2021. Yuanfeng Chen, Gaofeng Huang, Junjie Shi, Xiang Xie, and Yilin Yan. 2020. Rosetta: A Privacy-Preserving Framework Based on TensorFlow. https://github.com/LatticeX-Foundation/Rosetta. Also presented at the Privacy Preserving Machine Learning Workshop at ACM CCS 2021.

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