Towards Zero-Shot Differential Morphing Attack Detection with Multimodal Large Language Models

Leveraging the power of multimodal large language models (LLMs) offers a promising approach to enhancing the accuracy and interpretability of morphing attack detection (MAD), especially in real-world biometric applications. This work introduces the use of LLMs for differential morphing attack detect...

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Veröffentlicht in:	IEEE International Conference and Workshops on Automatic Face and Gesture Recognition : FG S. 1 - 10
Hauptverfasser:	Shekhawat, Ria, Li, Hailin, Ramachandra, Raghavendra, Venkatesh, Sushma
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 26.05.2025
Schlagworte:	Accuracy Benchmark testing Biological system modeling Cognition Face recognition Gesture recognition Large language models Prompt engineering Reliability engineering
ISSN:	2770-8330
Online-Zugang:	Volltext
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