Found an issue? Give us feedback

https://dx.doi.org/1...arrow_drop_down

https://dx.doi.org/10.34777/a3...

Dataset . 2024

License: CC BY NC

Data sources: Datacite

Select content type to embed

All Research products

arrow_drop_down

<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

UTKPAD: Replay Attack Database for Face Age Verification

Name: UTKPAD: Replay Attack Database for Face Age Verification
Keywords: replay attacks, face images, age verification

Research datakeyboard_double_arrow_right Dataset 21 May 2024 English Publisher:Idiap Research Institute

Authors: Korshunov, Pavel; Anjith George; Özbulak, Gökhan; Marcel, Sébastien;

doi: 10.34777/a3ac-y573

UTKPAD: Replay Attack Database for Face Age Verification

- Summary
- Subjects
- Metrics

Abstract

UTKPAD is a replay attack database prepared for face age verification as part of the paper "Vulnerability of Face Age Verification to Replay Attacks" published in ICASSP 2024 conference. This database is originated from the well-known large dataset, UTKFace of face images with age labels ranging from 1 to 100 plus years old. Replay attack are recorded with three different mobiles phones: Apple iPhone 12, Samsung Galaxy S9 and Huawei Mate 30. With UTKPAD database, we also provide file lists that can be used for training and testing of replay attacks detection and for vulnerability assessment of age verification systems.

Related Organizations

Idiap Research Institute
Switzerland

Keywords

replay attacks, face images, age verification

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Found an issue? Give us feedback

Average