Author

Niklas Kühl

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#artificial intelligence Preprint Sep 2026

Collaborative Synthetic Data for Privacy-Preserving Financial Fraud Detection Across Organizational Silos

Compared with classical oversampling, local generative baselines, and centralized diffusion benchmarks, CollaFuse does not achieve the highest local fidelity but improves downstream fraud detection more consistently across most datasets, suggesting that synthetic data create analytical value less through local realism...

Simeon Allmendinger, Domenique Zipperling, Burhanettin Bahadir Kibar et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Enabling and Understanding Personalization in AI-Generated Advertising Imagery

Results show that participants perceive differences across personalization levels and evaluate AI-generated advertising imagery most positively at a moderate level of personalization, and high personalization increases perceived personalization, which is positively associated with all three outcome measures, but also i...

Victor Kolominsky-Rabas, Leopold Müller, Claudius Budcke et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Generative AI Use Cases In Real Estate Marketing: Adoption and Constraints in Germany

In this work, insights from a German-based empirical study with eleven semi-structured interviews are reported on, contributing a grounded map of existing and potential use cases and identifies tentative practical implications for adoption.

Victor Kolominsky-Rabas, Leopold Müller, Felicia Perpina et al. · 0 citations