STAIN-FL: Stealthy Targeted Attack Injection with Contextual Triggers in Federated Learning
STAIN-FL is introduced, a stealthy targeted backdoor attack injection framework that uses naturally occurring surveillance conditions, including low-light scenes, indoor settings, and crowd density, as contextual triggers, to preserve clean accuracy while inducing trigger-conditioned misclassification.