About
Marco Huber is a researcher at the University of Stuttgart, focusing on biometrics, face recognition, and privacy-preserving technologies. He has published extensively in top-tier venues like IEEE Trans. Biom. Behav. Identity Sci. and CVPR Workshops.
His research interests include:
- Explainable AI for biometric systems
- Synthetic data generation and utilization
- Privacy-aware face recognition techniques
- Frequency domain analysis of neural networks
- Bias detection in AI models
- Face morphing attack detection
Recent work explores model compression, uncertainty quantification, and synthetic data challenges. He collaborates with institutions like Naser Damer's group and Pedro C. Neto's team. While no formal education or awards are listed, his 15 most recent articles (2015-2025) demonstrate expertise in biometric security and ethical AI systems.
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