Weifan Yang

Enhancing Contrastive PU Learning for Ad Fraud Detection with Multi-Granularity Diffusion

Digital ad fraud continuously evolves through device spoofing, behavior simulation, and coordinated traffic attacks, making the detection of sophisticated fraudulent activities a persistent challenge. In real-world settings, only a small fraction of fraudulent traffic receives reliable labels, while vast amounts of unl...