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SynthASpoof: Developing Face Presentation Attack Detection Based on Privacy-friendly Synthetic Data
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SynthASpoof: Developing Face Presentation Attack Detection Based on Privacy-friendly Synthetic Data

Meiling Fang
Marco Huber
Naser Damer
    AAML
ArXiv (abs)PDFHTML

Papers citing "SynthASpoof: Developing Face Presentation Attack Detection Based on Privacy-friendly Synthetic Data"

3 / 3 papers shown
Title
IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Models
IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Models
Fadi Boutros
J. H. Grebe
Arjan Kuijper
Naser Damer
65
64
0
09 Aug 2023
Are Explainability Tools Gender Biased? A Case Study on Face Presentation Attack Detection
Are Explainability Tools Gender Biased? A Case Study on Face Presentation Attack Detection
Marco Huber
Meiling Fang
Fadi Boutros
Naser Damer
FaMLCVBM
90
9
0
26 Apr 2023
Attacking Face Recognition with T-shirts: Database, Vulnerability Assessment and Detection
Attacking Face Recognition with T-shirts: Database, Vulnerability Assessment and Detection
M. Ibsen
Christian Rathgeb
Fabian Brechtel
Ruben Klepp
K. Pöppelmann
Anjith George
S´ebastien Marcel
C. Busch
CVBMAAML
32
5
0
14 Nov 2022

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