Few-shot learning in realistic settings for text CAPTCHA recognition-Reference-Cited by-同舟云学术

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Few-shot learning in realistic settings for text CAPTCHA recognition

Published:2023-02-14 Issue:15 Volume:35 Page:10751-10764
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Wang Yao,Wei Yuliang,Zhang Yifan,Jin Chuhao,Xin Guodong^ORCID,Wang Bailing

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Key Technology Research and Development Program of Shandong

National Defense Science and Technology Innovation Fund of the Chinese Academy of Sciences

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-023-08262-0.pdf

Reference50 articles.

1. Zi Y, Gao H, Cheng Z, Liu Y (2019) An end-to-end attack on text captchas. IEEE Trans Inf Forensics Secur 15:753–766

2. Kim D, Sample L (2019) Search prevention with captcha against web indexing: a proof of concept. In: 2019 IEEE International conference on computational science and engineering (CSE) and IEEE international conference on embedded and ubiquitous computing (EUC), pp 219–224. IEEE

3. Kumar M, Jindal MK, Kumar M (2022) Design of innovative CAPTCHA for hindi language. Neural Comput Appl 34:4957–4992

4. Mohamed M, Sachdeva N, Georgescu M, Gao S, Saxena N, Zhang C, Kumaraguru P, Van Oorschot PC, Chen W-B (2014) A three-way investigation of a game-captcha: automated attacks, relay attacks and usability. In: Proceedings of the 9th ACM symposium on information, computer and communications security, pp 195–206

5. Xu X, Liu L, Li B (2020) A survey of captcha technologies to distinguish between human and computer. Neurocomputing 408:292–307

Cited by 3 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. Transformer-based end-to-end attack on text CAPTCHAs with triplet deep attention;Computers & Security;2024-11

2. Low-shot learning and class imbalance: a survey;Journal of Big Data;2024-01-02

3. Few-Shot Learning With Class Imbalance;IEEE Transactions on Artificial Intelligence;2023-10

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