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ARTiFACIAL: Automated Reverse Turing test using FACIAL features

Yong Rui, Zicheng Liu
2004 Multimedia Systems  
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.  ...  We name our HIP algorithm ARTiFACIAL, standing for Automated Reverse Turing test using FACIAL features. It relates to (and differs from) the original Turing test in several ways.  ... 
doi:10.1007/s00530-003-0122-3 fatcat:zy2ujnckuzgrlhml2xe4g72cri

ARTiFACIAL

Yong Rui, Zicheg Liu
2003 Proceedings of the eleventh ACM international conference on Multimedia - MULTIMEDIA '03  
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.  ...  We only show part of the test image for clarity. We name our HIP algorithm ARTiFACIAL, standing for Automated Reverse Turing test using FACIAL features.  ... 
doi:10.1145/957013.957075 dblp:conf/mm/RuiL03 fatcat:i5jqy6qsy5bn3eywq2ivuaepcu

Attacks and design of image recognition CAPTCHAs

Bin B. Zhu, Jeff Yan, Qiujie Li, Chao Yang, Jia Liu, Ning Xu, Meng Yi, Kaiwei Cai
2010 Proceedings of the 17th ACM conference on Computer and communications security - CCS '10  
Image collection and CAPTCHA generation can be fully automated.  ...  An infinite number of types of objects can be used to generate challenges, which can effectively disable the learning process in machine learning attacks.  ...  INTRODUCTION CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) [1] [2] [3] , also known as Human Interactive Proof (HIP), is an automated Turing test in which both  ... 
doi:10.1145/1866307.1866329 dblp:conf/ccs/ZhuYLYLXYC10 fatcat:u5dkkmh3h5gdxkpnkceeqfh3hy

A Low-Cost Attack against the hCaptcha System [article]

Md Imran Hossen, Xiali Hei
2021 arXiv   pre-print
This paper presents an automated system that can break hCaptcha challenges with a high success rate.  ...  This work is supported in part by US NSF under grant OIA-1946231.  ...  Our automated CAPTCHA breaker solves hCaptcha challenges with 95.93% accuracy, making its reverse Turing tests broken.  ... 
arXiv:2104.04683v1 fatcat:5sdd4vlmjnhuhj6yudl6uenfny

New Image-based CAPTCHAs based on Neural Style Transfer

Haichang Gao, Zhouhang Cheng, Zhongyu Liu, Huaxi Wu, Yang Zi, Ge Pei
2019 IET Information Security  
Over the last few years, completely automated public turing test to tell computers and humans apart (CAPTCHA) has been used as an effective method to prevent websites from malicious attacks, however, CAPTCHA  ...  The comparison results demonstrated that the neural style transfer decreased the success rate of automated attacks.  ...  Introduction Completely automated public turing test to tell computers and humans apart (CAPTCHA) is designed to differentiate humans from automated scripts by asking users to perform some specified tasks  ... 
doi:10.1049/iet-ifs.2018.5036 fatcat:s2zvr74cyjhljjsvuueet2zrgy

Exploiting the Human–Machine Gap in Image Recognition for Designing CAPTCHAs

R. Datta, Jia Li, J.Z. Wang
2009 IEEE Transactions on Information Forensics and Security  
This difference in recognizability makes it a promising candidate for automated Turing tests called CAPTCHAs which can differentiate humans from machines.  ...  We give a detailed description of our experimental image CAPTCHA system, IMAGINATION, that uses systematic distortions at its core.  ...  to pinpoint facial features in them.  ... 
doi:10.1109/tifs.2009.2022709 fatcat:akujpmik4vcqfmjruomgcq7giy

I am Robot: (Deep) Learning to Break Semantic Image CAPTCHAs

Suphannee Sivakorn, Iasonas Polakis, Angelos D. Keromytis
2016 2016 IEEE European Symposium on Security and Privacy (EuroS&P)  
Since their inception, captchas have been widely used for preventing fraudsters from performing illicit actions.  ...  Nevertheless, economic incentives have resulted in an arms race, where fraudsters develop automated solvers and, in turn, captcha services tweak their design to break the solvers.  ...  Any opinions, findings, conclusions, or recommendations expressed herein are those of the authors, and do not necessarily reflect those of the US Government or the NSF.  ... 
doi:10.1109/eurosp.2016.37 dblp:conf/eurosp/SivakornPK16 fatcat:u2gegsjtfnd3beflnxrem6idja

Interweaving Unicode, Color, and Human Interactions to Enhance CAPTCHA Security

Narges Roshanbin
2014
A CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) is a security mechanism that is widely used to maintain the security of web services by preventing malicious programs  ...  The multi-layered security approach employed in this CAPTCHA mainly comes from its use of Unicode as an input space, a virtual keyboard as the input device, the use of homoglyphs, the correlated usage  ...  Hence, a CAPTCHA is sometimes referred to as a "reverse Turing test". CAPTCHA algorithms must have two characteristics.  ... 
doi:10.7939/r3ph3c fatcat:6rorqtfexzd25ftjuegvdtvmjy