Junhuang Huang

Persistent Backdoor Attacks in Class-Incremental Learning via Structural Invariant Anchoring

Continual Learning (CL) continually performs parameter updates, posing a significant challenge to backdoor persistence. In this paper, we reveal that the most advanced attack relies on an implicit assumption that task-critical neurons remain stable across task learning; however, it does not hold in …