Curvature-Guided Module Localization for Low-Rank Detoxification of Backdoored Large Language Models

The framework localizes modules responsible for backdoor triggers using activation patching and Fisher/K-FAC curvature analysis to find influential components. It then applies targeted low-rank parameter repairs only to these key modules, effectively neutralizing malicious behavior while preserving the model's general language capabilities.

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