Publications
The Robustness of Google CAPTCHAs
El Ahmad, A. S.; Yan, J. & Tayara, M.
2011, Technical report, School of Computer Science, Newcastle University, UK [pdf]
We report a novel attack on two CAPTCHAs that have been widely deployed on the Internet, one being Google's home design and the other acquired by Google (i.e. reCAPTCHA). With a minor change, our attack program also works well on the latest ReCAPTCHA version, which uses a new defence mechanism that was unknown to us when we designed our attack. This suggests that our attack works in a fundamental level. Our attack appears to be applicable to a whole family of text CAPTCHAs that build on top of the popular segmentation-resistant mechanism of "crowding character together" for security. Next, we propose a novel framework that guides the application of our well-tested security engineering methodology for evaluating CAPTCHA robustness, and we propose a new general principle for CAPTCHA design.
Segmentation of References with Skip-Chain Conditional Random Fields for Consistent Label Transitions
Toepfer, M.; Kluegl, P.; Hotho, A. & Puppe, F.
, 'Workshop Notes of the LWA 2011 - Learning, Knowledge, Adaptation' (2011) [pdf]
Classification in Marketing Science
Scholz, S. & Wagner, R.
Okada, A.; Imaizumi, T.; Bock, H.-H. & Gaul, W., ed., 'Cooperation in Classification and Data Analysis', Springer, Berlin, 99 - 106 (2009)
Influences on and from the segmentation of networks: hypotheses and tests
Baerveldt, T. A. B.
Social Networks, 16() 213-232 (1994) [pdf]