Using Generative Adversarial Networks to Break and Protect Text Captchas

Ye, G, Tang, Z, Fang, D et al. (6 more authors) (2020) Using Generative Adversarial Networks to Break and Protect Text Captchas. ACM Transactions on Privacy and Security, 23 (2). 7. ISSN 2471-2566

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Copyright, Publisher and Additional Information: © 2020 Association for Computing Machinery. This is an author produced version of an article published in ACM Transactions on Privacy and Security. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Text captchas, generative adversarial networks, transfer learning, security, authentication
Dates:
  • Accepted: 7 January 2020
  • Published: 1 April 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 06 Feb 2020 10:24
Last Modified: 29 Apr 2020 21:08
Status: Published
Publisher: Association for Computing Machinery
Identification Number: https://doi.org/10.1145/3378446

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