Development of two novel face-recognition CAPTCHAs: A security and usability study
暂无分享,去创建一个
[1] Pawel Lupkowski,et al. SemCAPTCHA—user-friendly alternative for OCR-based CAPTCHA systems , 2008, 2008 International Multiconference on Computer Science and Information Technology.
[2] Hannes Federrath,et al. Usability von CAPTCHA-Systemen , 2012, Sicherheit.
[3] Philippe Golle,et al. Machine learning attacks against the Asirra CAPTCHA , 2008, CCS.
[4] Oleg Starostenko,et al. Breaking text-based CAPTCHAs with variable word and character orientation , 2015, Pattern Recognit..
[5] Jon Howell,et al. Asirra: a CAPTCHA that exploits interest-aligned manual image categorization , 2007, CCS '07.
[6] David J. Crandall,et al. Solving Avatar Captchas Automatically , 2012, AMLTA.
[7] Jonathan Lazar,et al. Investigating the effects of sound masking on the use of audio CAPTCHAs , 2014, Behav. Inf. Technol..
[8] Luis von Ahn,et al. Breaking Audio CAPTCHAs , 2008, NIPS.
[9] Manuel Blum,et al. reCAPTCHA: Human-Based Character Recognition via Web Security Measures , 2008, Science.
[10] John Langford,et al. CAPTCHA: Using Hard AI Problems for Security , 2003, EUROCRYPT.
[11] Richard Zanibbi,et al. Balancing usability and security in a video CAPTCHA , 2009, SOUPS.
[12] A Generalized Method to Solve Text-Based CAPTCHAs , 2009 .
[13] Sajad Shirali-Shahreza,et al. SeeSay and HearSay CAPTCHA for mobile interaction , 2013, CHI.
[14] Muhammad Abid,et al. Learning Discriminating Features for Gender Recognition of Real World Faces , 2014, Int. J. Image Graph..
[15] Michael Netter,et al. Attacking Image Recognition Captchas - A Naive but Effective Approach , 2010, TrustBus.
[16] Joonhyuk Yang,et al. FaceCAPTCHA: a CAPTCHA that identifies the gender of face images unrecognized by existing gender classifiers , 2013, Multimedia Tools and Applications.
[17] Mark L. Mitchell,et al. Research Design Explained , 1987 .
[18] Erik Learned-Miller,et al. Labeled Faces in the Wild : Updates and New Reporting Procedures , 2014 .
[19] Angelos D. Keromytis,et al. Using graphic turing tests to counter automated DDoS attacks against web servers , 2003, CCS '03.
[20] Patrice Y. Simard,et al. Using Machine Learning to Break Visual Human Interaction Proofs (HIPs) , 2004, NIPS.
[21] Jeff Yan,et al. Usability of CAPTCHAs or usability issues in CAPTCHA design , 2008, SOUPS '08.
[22] Roope Raisamo,et al. An experimental comparison of gender classification methods , 2008, Pattern Recognit. Lett..
[23] Jan-Michael Frahm,et al. Security and Usability Challenges of Moving-Object CAPTCHAs: Decoding Codewords in Motion , 2012, USENIX Security Symposium.
[24] G. Moy,et al. Distortion estimation techniques in solving visual CAPTCHAs , 2004, CVPR 2004.
[25] Yang-Wai Chow,et al. On the security of text-based 3D CAPTCHAs , 2014, Comput. Secur..
[26] Nikos Mavrogiannopoulos,et al. For human eyes only: security and usability evaluation , 2012, WPES '12.
[27] Jeffrey P. Bigham,et al. Evaluating existing audio CAPTCHAs and an interface optimized for non-visual use , 2009, CHI.
[28] Jeff Yan,et al. Breaking Visual CAPTCHAs with Naive Pattern Recognition Algorithms , 2007, Twenty-Third Annual Computer Security Applications Conference (ACSAC 2007).
[29] Wei Gao,et al. Face Gender Classification on Consumer Images in a Multiethnic Environment , 2009, ICB.
[30] Frédéric Jurie,et al. Puzzling face verification algorithms for privacy protection , 2014, 2014 IEEE International Workshop on Information Forensics and Security (WIFS).
[31] Wei Wang,et al. The robustness of hollow CAPTCHAs , 2013, CCS.
[32] Markus Dürmuth,et al. Achieving Anonymity against Major Face Recognition Algorithms , 2013, Communications and Multimedia Security.
[33] Richa Singh,et al. Face recognition CAPTCHA , 2012, 2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS).
[34] Gonzalo Álvarez,et al. CAPTCHAs: An Artificial Intelligence Application to Web Security , 2011, Adv. Comput..
[35] Dorothea Kolossa,et al. Using automatic speech recognition for attacking acoustic CAPTCHAs: the trade-off between usability and security , 2014, ACSAC.
[36] Daniel González-Jiménez,et al. Single- and cross- database benchmarks for gender classification under unconstrained settings , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).
[37] Mayank Agarwal,et al. Mitigating denial of service attack using CAPTCHA mechanism , 2011, ICWET.
[38] Rich Gossweiler,et al. WWW 2009 MADRID! Track: User Interfaces and Mobile Web / Session: User Interfaces What’s Up CAPTCHA? A CAPTCHA Based on Image Orientation , 2022 .
[39] Manuel Blum,et al. Telling Humans and Computers Apart Automatically or How Lazy Cryptographers do AI , 2002 .
[40] Mary Czerwinski,et al. Building Segmentation Based Human-Friendly Human Interaction Proofs (HIPs) , 2005, HIP.
[41] James Ze Wang,et al. Exploiting the Human–Machine Gap in Image Recognition for Designing CAPTCHAs , 2009, IEEE Transactions on Information Forensics and Security.
[42] Wei-bang Chen,et al. A three-way investigation of a game-CAPTCHA: automated attacks, relay attacks and usability , 2014, AsiaCCS.
[43] Marwan Mattar,et al. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments , 2008 .
[44] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[45] Chao Yang,et al. Attacks and design of image recognition CAPTCHAs , 2010, CCS '10.
[46] Jakob Nielsen,et al. Usability engineering , 1997, The Computer Science and Engineering Handbook.
[47] Francesco Bergadano,et al. Anti-bot Strategies Based on Human Interactive Proofs , 2010, Handbook of Information and Communication Security.
[48] Mary Czerwinski,et al. Computers beat Humans at Single Character Recognition in Reading based Human Interaction Proofs (HIPs) , 2005, CEAS.
[49] Alessandro Basso,et al. Preventing massive automated access to web resources , 2009, Comput. Secur..
[50] John C. Mitchell,et al. Text-based CAPTCHA strengths and weaknesses , 2011, CCS '11.
[51] Artemios G. Voyiatzis,et al. On the necessity of user-friendly CAPTCHA , 2011, CHI.
[52] John C. Mitchell,et al. The End is Nigh: Generic Solving of Text-based CAPTCHAs , 2014, WOOT.
[53] Christos Makris,et al. Character Segmentation for Automatic CAPTCHA Solving , 2014 .
[54] Mauro Conti,et al. CAPTCHaStar! A Novel CAPTCHA Based on Interactive Shape Discovery , 2015, ACNS.
[55] Jeff Yan,et al. The Robustness of Google CAPTCHAs , 2011 .
[56] Henry S. Baird,et al. Implicit CAPTCHAs , 2005, DRR.
[57] Marcel Worring,et al. Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[58] Hend Suliman Al-Khalifa. An Empirical Pilot Study of CAPTCHA Complexity Using Eye Tracking , 2014, iiWAS.
[59] Hyeonjoon Moon,et al. The FERET Evaluation Methodology for Face-Recognition Algorithms , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[60] Shree K. Nayar,et al. Attribute and simile classifiers for face verification , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[61] Harry Wechsler,et al. The FERET database and evaluation procedure for face-recognition algorithms , 1998, Image Vis. Comput..
[62] Hsin Hsin Chang,et al. Consumer perception of interface quality, security, and loyalty in electronic commerce , 2009, Inf. Manag..
[63] Dorothea Kolossa,et al. Constructing Secure Audio CAPTCHAs by Exploiting Differences between Humans and Machines , 2015, CHI.
[64] John Langford,et al. Telling humans and computers apart automatically , 2004, CACM.
[65] Kate Smith-Miles,et al. Facial age estimation by multilinear subspace analysis , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.
[66] W. Horng,et al. Classification of Age Groups Based on Facial Features , 2001 .
[67] Javier Lorenzo-Navarro,et al. On using periocular biometric for gender classification in the wild , 2016, Pattern Recognit. Lett..
[68] John C. Mitchell,et al. Easy does it: more usable CAPTCHAs , 2014, CHI.
[69] Oleg Starostenko,et al. Breaking reCAPTCHAs with Unpredictable Collapse: Heuristic Character Segmentation and Recognition , 2012, MCPR.
[70] Chanathip Namprempre,et al. Mitigating Dictionary Attacks with Text-Graphics Character Captchas , 2007, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..
[71] James Miller,et al. A Survey and Analysis of Current CAPTCHA Approaches , 2013, J. Web Eng..
[72] Yun Fu,et al. Age Synthesis and Estimation via Faces: A Survey , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[73] Philip Masek,et al. Evaluation of Face Recognition APIs and Libraries , 2015 .
[74] Paul A. Viola,et al. A unified learning framework for real time face detection and classification , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.
[75] Anjali Avinash Chandavale,et al. Algorithm to Break Visual CAPTCHA , 2009, 2009 Second International Conference on Emerging Trends in Engineering & Technology.
[76] B. Thomas,et al. Usability Evaluation In Industry , 1996 .
[77] David J. Sheskin,et al. Handbook of Parametric and Nonparametric Statistical Procedures , 1997 .
[78] Zicheng Liu,et al. ARTiFACIAL: automated reverse turing test using FACIAL features , 2003, MULTIMEDIA '03.
[79] Marios Belk,et al. iHIP: Towards a User Centric Individual Human Interaction Proof Framework , 2015, CHI Extended Abstracts.
[80] Sébastien Marcel,et al. Audio-visual gender recognition in uncontrolled environment using variability modeling techniques , 2014, IEEE International Joint Conference on Biometrics.
[81] John C. Mitchell,et al. How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation , 2010, 2010 IEEE Symposium on Security and Privacy.
[82] Jeff Yan,et al. A low-cost attack on a Microsoft captcha , 2008, CCS.
[83] Caifeng Shan,et al. Learning local binary patterns for gender classification on real-world face images , 2012, Pattern Recognit. Lett..
[84] Kun Fang,et al. Segmentation of CAPTCHAs Based on Complex Networks , 2012, AICI.
[85] Benny Pinkas,et al. Securing passwords against dictionary attacks , 2002, CCS '02.
[86] Marc Fischlin,et al. Breaking reCAPTCHA: A Holistic Approach via Shape Recognition , 2011, SEC.