ActivationBackdoor: Backdooring Large Language Models in Collaborative Inference via Intermediate Activations
This work proposes ActivationBackdoor, an inference-time backdoor attack that composes two activation-level components for trigger detection and backdoor behavior injection, and shows that ActivationBackdoor attains attack success comparable to training-time backdoor baselines while preserving high clean-task accuracy...