Robust Dynamic Expansion for Continual Learning under Backdoor Attacks via Purification and Selective Recovery
Continual learning (CL) enables models to acquire new knowledge from sequentially arriving tasks while retaining previously learned knowledge. However, in practical scenarios, task streams collected from untrusted sources may contain backdoor-poisoned samples, posing a critical challenge to the stability, plasticity, a...