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SYSTEMS AND METHODS FOR DISTORTING CAPTCHA IMAGES WITH GENERATIVE ADVERSARIAL NETWORKS

机译:用生成的对抗性网络将CAPTCHA图像扭曲的系统和方法

摘要

Systems and methods for distorting CAPTCHA images with generative adversarial networks include an image distortion interface that can select an image record from a database, determine the size of the selected image, and apply an adversarial attack algorithm to create an array of pixels that is the same size as the selected image so that the majority of the pixels in the array are zero values and the remaining pixels in the array are in the red-green-blue value range. The image distortion interface can merge the array of pixels with the selected image to form a distorted image. A server can include a CAPTCHA test interface that can select a set of images having the same label, retrieve corresponding distorted images, and provide a CAPTCHA test using the distorted images. The CAPTCHA test can use distorted images with different applied adversarial attack algorithms.
机译:用于用生成的对抗网络扭曲CAPTCHA图像的系统和方法包括可以从数据库中选择图像记录的图像失真接口,确定所选图像的大小,并应用副脉攻击算法以创建相同的像素数组尺寸作为所选图像,使得阵列中的大部分像素是零值,并且阵列中的剩余像素处于红色蓝色值范围。图像失真界面可以用所选图像合并像素阵列以形成扭曲的图像。服务器可以包括CAPTCHA测试接口,可以选择具有相同标签的一组图像,检索相应的失真图像,并使用扭曲的图像提供CAPTCHA测试。 CAPTCHA测试可以使用具有不同应用的对抗攻击算法的扭曲图像。

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