Layout-Aware Representation Learning for Open-Set ID Fraud Discovery
概要
arXiv:2605.05215v1 Announce Type: cross Abstract: Identity-document fraud detection is not a stationary binary classification problem. Adaptive attackers modify templates and fabrication pipelines, making historical fraud labels stale, and successful forgeries recur at scale as coherent campaigns. …
