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Artifacial: Automated Reverse Turing Test
Using Facial Features
April 1, 2003

Download Document

BibTex
Authors

Yong Rui

Zicheng Liu
Publication Type
TechReport
Pages
12
Number
MSR-TR-2003-48

Abstract

Related Info
Abstract
Web services designed for human users are being abused by computer programs (bots). The bots
steal thousands of free email accounts in a minute; participate in online polls to skew results; and
irritate people by joining online chat rooms. These real-world issues have recently generated a
new research area called Human Interactive Proofs (HIP), whose goal is to defend services from
malicious attacks by differentiating bots from human users. In this paper, we make two major
contributions to HIP. First, based on both theoretical and practical considerations, we propose a
set of HIP design guidelines which ensure a HIP system to be secure and usable. Second, we
propose a new HIP algorithm based on detecting human face and facial features. Human faces
are the most familiar object to humans, rendering it possibly the best candidate for HIP. We
conducted user studies and showed the ease of use of our system to human users. We designed
attacks using the best existing face detectors and demonstrated the difficulty to bots.
Related Info
Related Files
 tr-2003-48.pdf
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 Computer vision
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