Leveraging Over-Parameterization to Improve the Verifiability of Neural Networks
A. Gimelli, Luca Oneto, A. Tacchella
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This paper introduces dormant steering logic into the model architecture through a trigger-gated additive modification of an intermediate representation, without poisoning training data, controlling downstream fine-tuning, or modifying prompts at deployment time.