Privacy-Preserving Face Recognition Using Random Frequency Components-Reference-Cited by-同舟云学术

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Privacy-Preserving Face Recognition Using Random Frequency Components

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Mi Yuxi¹,Huang Yuge²,Ji Jiazhen²,Zhao Minyi¹,Wu Jiaxiang²,Xu Xingkun²,Ding Shouhong²,Zhou Shuigeng¹

Affiliation:

1. Fudan University

2. Tencent Youtu Lab

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377485.pdf?arnumber=10377485

Reference51 articles.

1. Simple Functional Encryption Schemes for Inner Products

2. Past, Present, and Future of Face Recognition: A Review

3. Privacy Preserving Face Recognition Utilizing Differential Privacy

4. Discriminant-component eigenfaces for privacy-preserving face recognition

5. A Fast Computational Algorithm for the Discrete Cosine Transform

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. Privacy-Preserving Face Recognition Method Based on Randomization and Local Feature Learning;Journal of Imaging;2024-02-28

2. PRO-Face C: Privacy-Preserving Recognition of Obfuscated Face via Feature Compensation;IEEE Transactions on Information Forensics and Security;2024

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