CAPTCHA Image Generation Systems Using Generative Adversarial Networks
Author:
Affiliation:
1. School of Computing, Korea Advanced Institute of Science and Technology
2. Electrical and Computer Engineering, North Carolina State University
3. Dept. of Medical Information, Kongju National University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E101.D/2/E101.D_2017EDL8175/_pdf
Reference10 articles.
1. [1] L. Von Ahn, M. Blum, N.J. Hopper, and J. Langford, “CAPTCHA: Using hard AI problems for security,” International Conference on the Theory and Applications of Cryptographic Techniques, Lecture Notes in Computer Science, vol.2656, pp.294-311, Springer, 2003. 10.1007/3-540-39200-9_18
2. [2] G. Moy, N. Jones, C. Harkless, and R. Potter, “Distortion estimation techniques in solving visual CAPTCHAs,” Proc. 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2004, pp.23-28, 2004. 10.1109/cvpr.2004.1315140
3. [3] A. Hindle, M.W. Godfrey, and R.C. Holt, “Reverse engineering CAPTCHAs,” 15th Working Conference on Reverse Engineering, WCRE'08, pp.59-68, 2008. 10.1109/wcre.2008.35
4. [4] E. Bursztein, J. Aigrain, A. Moscicki, and J.C. Mitchell, “The end is nigh: Generic solving of text-based captchas,” WOOT, 2014.
5. [5] B. Biggio, I. Corona, D. Maiorca, B. Nelson, N. Šrndić, P. Laskov, G. Giacinto, and F. Roli, “Evasion attacks against machine learning at test time,” Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Lecture Notes in Computer Science, vol.8190, pp.387-402, Springer, 2013. 10.1007/978-3-642-40994-3_25
Cited by 18 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. Evaluating Deep Learning Resilience in Retinal Fundus Classification with Generative Adversarial Networks Generated Images;Electronics;2024-07-04
2. The robustness of behavior-verification-based slider CAPTCHAs;Journal of Information Security and Applications;2024-03
3. Image CAPTCHAs: When Deep Learning Breaks the Mold;IEEE Access;2024
4. DMSC-GAN: A c-GAN-Based Framework for Super-Resolution Reconstruction of SAR Images;Remote Sensing;2023-12-21
5. An Improved Real-Time Object Tracking Algorithm Based on Deep Learning Features;IEICE Transactions on Information and Systems;2023-05-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3