Abstract
The traditional text captcha adds adversarial perturbation based on a single character, and it is necessary to joint and compound the captcha picture, so that the characters and the background are easy to segment. In order to strengthen the security of text captcha, an AECAPTCHA text captcha defense algorithm with overall adversarial perturbations is proposed. The algorithm uses multi-label classification training text captcha as a pre-training model. Therefore, the AECAPTCHA algorithm is used to generate multi-character overall adversarial perturbation, eliminate the steps of splicing, compositing, and adding colors, then superimpose to generate safe text captcha with adversarial examples properties. The experimental results show that text captcha with the overall adversarial perturbation reduced the accuracy to 0.06%, effectively improves the security of the text captcha, and does not affect the user’s rapid identification and use.
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