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News/On the Study of Biometric Spoofing Detection using Deep Learning
arxiv
PublishedJune 11, 2026 at 4:00 AM
—neutral

On the Study of Biometric Spoofing Detection using Deep Learning

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2606.11505v1 Announce Type: cross Abstract: Biometric systems are increasingly deployed in security applications; however, they remain vulnerable to spoofing attacks, in which attackers exploit counterfeit biometric data to gain unauthorized access. This research evaluates the effectiveness of

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Discussion
Mentioned models
04
  • 01
    MobileNetV2
  • 02
    DenseNet-121
  • 03
    Inception-v3
  • 04
    Spoof Trace Disentanglement (STD)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#security#facial recognition#machine learning#biometrics

No replies yet. Be first.

Mentioned models
04
  • 01
    MobileNetV2
  • 02
    DenseNet-121
  • 03
    Inception-v3
  • 04
    Spoof Trace Disentanglement (STD)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#security#facial recognition#machine learning#biometrics

Related coverage

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arxivMAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation38marxivCounterfactual Model Testing Under Distribution Shift38marxivCentralized Critics for N-Agent Ad Hoc Teamwork38marxivWhere and What to Reward? Understanding Generalization Between Verifiable and Open-Ended Domains in Reinforcement Learning38m
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