SSBSE 2026 Challenge — VFL-Searcher

VFL-Searcher is an adversarial attack framework targeting vertical federated learning systems. It uses a multi-objective evolutionary search algorithm (NSGA-II) and ADI to craft adversarial data injections that simultaneously maximize attack success rate and evade anomaly detection, without requiring knowledge of other participants' data or models.