July 31, 2023, 1:10 a.m. | Duc C. Hoang, Cuong V. Nguyen, Amin Kharraz

cs.CR updates on arXiv.org arxiv.org

The popularity of text-based CAPTCHA as a security mechanism to protect
websites from automated bots has prompted researches in CAPTCHA solvers, with
the aim of understanding its failure cases and subsequently making CAPTCHAs
more secure. Recently proposed solvers, built on advances in deep learning, are
able to crack even the very challenging CAPTCHAs with high accuracy. However,
these solvers often perform poorly on out-of-distribution samples that contain
visual features different from those in the training set. Furthermore, they
lack the …

aim automated aware bots captcha captchas cases crack deep learning failure making protect security text uncertainty understanding websites

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