Image‐based CAPTCHAs based on neural style transfer-Reference-Cited by-同舟云学术

Image‐based CAPTCHAs based on neural style transfer

Published:2019-11 Issue:6 Volume:13 Page:519-529
ISSN:1751-8717
Container-title:IET Information Security
language:en
Short-container-title:IET Information Security

Author:

Cheng Zhouhang¹,Gao Haichang¹^ORCID,Liu Zhongyu²,Wu Huaxi²,Zi Yang¹,Pei Ge¹

Affiliation:

1. Institute of Software Engineering, Xidian UniversityXi'anShaanxi710071People's Republic of China

2. Wuhan GeeYee Network TechnologyWuhanHubei430000People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Networks and Communications,Information Systems,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ifs.2018.5036

Reference52 articles.

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2. Goodfellow I.J. Bulatov Y. Ibarz J.et al: ‘Multi‐digit number recognition from street view imagery using deep convolutional neural networks’. arXiv preprint arXiv:1312.6082 2013

3. Karthik C.P. Recasens R.A.:Breaking microsoft's CAPTCHA. Tech. Rep 2015

4. Artifacial: automated reverse turing test using facial features;Rui Y.;Multimedia Syst.,2004

5. Elson J. Douceur J R. Howell J.et al: ‘Asirra: a CAPTCHA that exploits interest‐aligned manual image categorization’.ACM Conf. on Computer and Communications Security Alexandria VA USA 2007 vol. 7 pp.366–374

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