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Privacy Evaluation Protocols for the Evaluation of Soft-Biometric Privacy-Enhancing Technologies

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dc.contributor.authorTerhörst, Philipp
dc.contributor.authorHuber, Marco
dc.contributor.authorDamer, Naser
dc.contributor.authorRot, Peter
dc.contributor.authorKirchbuchner, Florian
dc.contributor.authorStruc, Vitomir
dc.contributor.authorKuijper, Arjan
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.contributor.editorDantcheva, Antitza
dc.contributor.editorRaja, Kiran
dc.contributor.editorRathgeb, Christian
dc.contributor.editorUhl, Andreas
dc.date.accessioned2020-09-16T08:25:45Z
dc.date.available2020-09-16T08:25:45Z
dc.date.issued2020
dc.description.abstractBiometric data includes privacy-sensitive information, such as soft-biometrics. Soft-biometric privacy enhancing technologies aim at limiting the possibility of deducing such information. Previous works proposed several solutions to this problem using several different evaluation processes, metrics, and attack scenarios. The absence of a standardized evaluation protocol makes a meaningful comparison of these solutions difficult. In this work, we propose privacy evaluation protocols (PEPs) for privacy-enhancing technologies (PETs) dealing with soft-biometric privacy. Our framework evaluates PETs in the most critical scenario of an attacker that knows and adapts to the systems privacy-mechanism. Moreover, our PEPs differentiate between PET of learning-based or training-free nature. To ensure that our protocol meets the highest standards in both cases, it is based on Kerckhoffs‘s principle of cryptography.en
dc.identifier.isbn978-3-88579-700-5
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34330
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-306
dc.subjectFace
dc.subjectsoft-biometric privacy
dc.subjectprivacy-enhancing technologies
dc.subjectevaluation protocols
dc.titlePrivacy Evaluation Protocols for the Evaluation of Soft-Biometric Privacy-Enhancing Technologiesen
dc.typeText/Conference Paper
gi.citation.endPage222
gi.citation.publisherPlaceBonn
gi.citation.startPage215
gi.conference.date16.-18. September 2020
gi.conference.locationInternational Digital Conference
gi.conference.sessiontitleFurther Conference Contributions

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P306 - BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group