By Jutta Hämmerle-Uhl, Michael Pober, Andreas Uhl (auth.), Bart De Decker, Jana Dittmann, Christian Kraetzer, Claus Vielhauer (eds.)
This publication constitutes the refereed lawsuits of the 14th IFIP TC 6/TC eleven foreign convention on Communications and Multimedia safety, CMS 2013, held in Magdeburg, Germany, in September 2013. The five revised complete papers awarded including eleven brief papers, five prolonged abstracts describing the posters that have been mentioned on the convention, and a couple of keynote talks have been rigorously reviewed and chosen from 30 submissions. The papers are equipped in topical sections on biometrics; utilized cryptography; electronic watermarking, steganography and forensics; and social community privateness, safety and authentication.
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Extra resources for Communications and Multimedia Security: 14th IFIP TC 6/TC 11 International Conference, CMS 2013, Magdeburg, Germany, September 25-26, 2013. Proceedings
38 J. Vossaert et al. These biometric templates can be bound to the credentials of the user. The credential based authentication is then combined with the biometric authentication. A veriﬁer can, hereby, check that the user of the credentials is also the owner. 509 certiﬁcate can, for instance, be done by including a cryptographic hash of the biometric template in the certiﬁcate. For other types of credentials such as passwords or anonymous credentials similar principles can be applied. The veriﬁcation of the biometric binding is further denoted as verifyBinding.
Cipolla, R. ) ECCV 1996. LNCS, vol. 1064, pp. 45–58. Springer, Heidelberg (1996) 2. : Unwillingness to pay for privacy: A ﬁeld experiment. IZA Discussion Paper No. pdf 3. edu/evalfacerec/ 4. edu/evalfacerec/ 5. : Elastic bunch graph matching. Master’s thesis, CSU Computer Science Department (2003) 6. : The CSU face identiﬁcation evaluation system: Its purpose, features and structure. In: Proc. International Conference on Vision Systems, pp. 304–311 (2003) 7. : The eﬀects of ﬁltered video on awareness and privacy.
What is more important, they are still worse than the performance of the MahCosine distance measure, which serves as our benchmark in this case. We conclude that clustering wrt. MahCosine achieves a high degree of deidentiﬁcation among all tested Eigenface-based methods while only minimally impacting identiﬁcation by humans. We expect that other distance measures exhibit similar performance. 5 Experiments for Bayesian Face Recognition For the Bayesian face recognition, there are two (related) classiﬁers: MAP operates on both intra- and extra-personal spaces, while the simpler ML classiﬁer bases its estimate on the intra-personal space only.