An efficient face recognition attack method based on generative adversarial networks and cosine metrics-Reference-Cited by-同舟云学术

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An efficient face recognition attack method based on generative adversarial networks and cosine metrics

Published:2021-10-29 Issue: Volume: Page:
ISSN:
Container-title:2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT)
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Author:

Ding Hu¹,He Shumeng¹,Wu Yanwen²,Jin Yongli³,Gan Lin⁴,Xu Gaodi⁵,Yang Houqun¹

Affiliation:

1. Hainan University,School of Computer Science and Technology,Haikou,Hainan

2. Chongqing University,School of Big Data and Software Engineering,Chongqing

3. Anhui University,School of Computer Science and Technology,Hefei,Anhui

4. Purdue University,Elmore Family School of Computer and Electrical Engineering,West Lafayette,USA

5. Hainan Association for Artificial Intelligence,Haikou,Hainan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9731095/9730887/09731246.pdf?arnumber=9731246

Reference39 articles.

1. Wasserstein GAN;arjovsky,2017

2. Improved Training of Wasserstein GANs;gulrajani,2017

3. SinGAN: Learning a Generative Model from a Single Natural Image;rott shaham,2019

4. Few-Shot Unsupervised Image-to-Image Translation

5. Self-Attention Generative Adversarial Networks;zhang,2018

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. A Comprehensive Risk Analysis Method for Adversarial Attacks on Biometric Authentication Systems;IEEE Access;2024

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