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Machine learning attacks against the Asirra CAPTCHA

Proceedings of the 5th Symposium on Usable Privacy and Security, pp.535-542, (2009)

Cited by: 319|Views97
EI

Abstract

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. In this paper, we describe a classifier which is 82.7% accurate in telling apa...More

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