Keyword Spotting in the Homomorphic Encrypted Domain Using Deep Complex-Valued CNN-Reference-Cited by-同舟云学术

Keyword Spotting in the Homomorphic Encrypted Domain Using Deep Complex-Valued CNN

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Zheng Peijia¹,Cai Zhiwei²,Zeng Huicong²,Huang Jiwu³

Affiliation:

1. Sun Yat-Sen University & Zhengzhou Xinda Institute of Advanced Technology, Guangzhou, China

2. Sun Yat-Sen University, Guangzhou, China

3. Shenzhen University & Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China

Funder

NSFC

Guangdong Basic and Applied Basic Research Foundation

National Key Research and Development Project

Science and Technology Projects in Guangzhou

Open Foundation of Henan Key Laboratory of Cyberspace Situation Awareness

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3548350

Reference51 articles.

1. Keyword spotting system for Tamil isolated words using Multidimensional MFCC and DTW algorithm

2. Cloud-Based MPC with Encrypted Data

3. The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs;Badawi Ahmad Al;IACR Cryptol. ePrint Arch.,2018

4. On the Implementation of the Discrete Fourier Transform in the Encrypted Domain

5. nGraph-HE2

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