Publication | Closed Access
Machine learning attacks against the Asirra CAPTCHA
233
Citations
11
References
2008
Year
Unknown Venue
Artificial IntelligenceAbuse DetectionEngineeringMachine LearningInformation SecurityBiometricsInformation ForensicsAsirra CaptchaIntelligent SystemsAcm Ccs 2007Image AnalysisData SciencePattern RecognitionAdversarial Machine LearningPresumed DifficultyOptical Character RecognitionIdentity-based SecurityComputer ScienceData SecurityCryptographyAttack Model
The Asirra CAPTCHA [EDHS2007], proposed at ACM CCS 2007, relies on the problem of distinguishing images of cats and dogs (a task that humans are very good at). The security of Asirra is based on the presumed difficulty of classifying these images automatically.
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