A new method for training a system to solve captchas based on small data sets could help develop more reliable security systems.
The scientists claim that their method can recognize more complex captchas that contain many distortions. This is a significant breakthrough in the field of protecting online resources from automated attacks, the press service noted.
Despite a limited amount of training data, the neural network was able to recognize 63% of distorted images. This indicates that sites using such captchas have poor security. Experts call for improved security algorithms to prevent possible attacks on sites. This requires greater attention to vulnerabilities detected during the study.
Source: Ferra
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