2 papers
cs.LG2025
Secure and Explainable Fraud Detection in Finance via Hierarchical Multi-source Dataset Distillation
Yiming Qian, Thorsten Neumann, Xueyining Huang +4
We propose an explainable, privacy-preserving dataset distillation framework for collaborative financial fraud detection. A trained random forest is converted into transparent, axi…
cs.LG2024
LabObf: A Label Protection Scheme for Vertical Federated Learning Through Label Obfuscation
Ying He, Mingyang Niu, Jingyu Hua +4
Split Neural Network, as one of the most common architectures used in vertical federated learning, is popular in industry due to its privacy-preserving characteristics. In this arc…