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LLM safety systems that appear robust in English crumble when faced with Chinese-specific adversarial attacks, exposing a critical gap in current alignment strategies.
Machine unlearning methods may only *appear* successful because they simply misalign the last-layer features with the classifier, leaving the underlying representations largely unchanged and vulnerable to recovery.
