When Collaboration Becomes a Trigger: Collective Evidence-Threshold Backdoors in Multi-Agent Systems
This work introduces a collective evidence-threshold backdoor paradigm for MAS and Boundary-Conditioned Backdoor Injection, which constructs counterfactual boundary pairs to separate benign behavior before the threshold from the adversarial objective after it, and learns latent progression aligned with evidence.