Text Captcha Is Dead? A Large Scale Deployment and Empirical Study

Chenghui Shi, Shouling Ji, Qianjun Liu, Changchang Liu, Yuefeng Chen, Yuan He, Zhe Liu, Raheem Beyah, Ting Wang

202022 citationsDOI

Abstract

The development of deep learning techniques has significantly increased the ability of computers to recognize CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart), thus breaking or mitigating the security of existing captcha schemes. To protect against these attacks, recent works have been proposed to leverage adversarial machine learning to perturb captcha pictures. However, they either require the prior knowledge of captcha solving models or lack adaptivity to the evolving behaviors of attackers. Most importantly, none of them has been deployed in practical applications, and their practical applicability and effectiveness are unknown.

Topics & Concepts

CAPTCHATuring testComputer scienceLeverage (statistics)Adversarial systemSoftware deploymentDeep learningArtificial intelligenceTuringComputer securityHuman–computer interactionMachine learningSoftware engineeringProgramming languageUser Authentication and Security SystemsAdvanced Malware Detection TechniquesAdversarial Robustness in Machine Learning