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New Machine Learning Algorithm to Bypass Captcha Easy

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Many captcha bypass algorithms appeared over the years but quick and precise as this new algorithm which was developed by scientists from UK and China using Machine Learning exactly GAN - generative adversarial network it cracks captcha on 0.05 sec. using regular laptop or desktop PC.
Traditional machine learning algorithms we're not accurate enough they require thousands of data samples for learning and long training time, so as deep learning.
For the new algorithm that's using GAN technology instead of collecting data the algorithm is generating new data labeled data samples making it capable of bypassing captcha easily. Researchers collected a total of 500 samples from 11 captcha services used on 32 sites from the top 50 in the Alexa ranking. The developers spent only 2 hours on the collection. In the process of learning, and tested on more than 200,000 captchas.
The researchers said their approach was 100% accurate and bypassed captcha on famous websites such as Megaupload, Blizzard and Authorize.NET. On Amazon, PayPal, Yahoo and others generally the overall accuracy was very satisfying.

What should website owners do?

Researchers recommended that websites owners should consider using alternative robust methods, also enhance bots and bypass plugins detecting for example using bio-metric data or analyze user behavior patterns and device locations.

GAN

Scientists from the English Lancaster and Chinese Northwestern and Beijing universities used the Generative Adversarial Network (GAN) for wide variety of problems. GAN (Generative Adversarial Networks) were reported to be used by Facebook. Recently, GANs have modeled patterns of motion in video. They have also been used to reconstruct 3D models of objects from images[ and to improve astronomical images. In 2017 a fully convolutional feed-forward GAN was used for image enhancement using automated texture synthesis in combination with perceptual loss. The system focused on realistic textures rather than pixel-accuracy. The result was a higher image quality at high magnification.

what is GAN?

GAN is based on two competing neural networks. One generative generates samples by mixing several source ones, and the other discriminative generates attempts to decipher them. Both networks seek to win each other. In the process of joint competitive training, they significantly improve the quality of their work without the need to use a large amount of initial data.
Researchers collected a total of 500 samples from 11 captcha services used on 32 sites from the top 50 in the Alexa ranking. The developers spent only 2 hours on the collection. In the process of learning, more than 200,000 captchas were “synthesized”.

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Machine Learning Techub: New Machine Learning Algorithm to Bypass Captcha Easy
New Machine Learning Algorithm to Bypass Captcha Easy
bypass captcha algorithm written using GAN (generative-adversial network) developed by scientists from the UK and China
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Machine Learning Techub
https://www.machinelearningtechub.com/2018/12/new-machine-learning-algorithm-to.html
https://www.machinelearningtechub.com/
https://www.machinelearningtechub.com/
https://www.machinelearningtechub.com/2018/12/new-machine-learning-algorithm-to.html
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