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A Few Steps Further: Why Defenses Against Malicious Finetuning Erode Under Continued Training
Model providers increasingly release the weights of large language models. Although these models are safety-aligned before release, their safeguards can often be removed by fine-tuning on harmful data. A growing class of defenses aims to make alignment robust to such malicious fine-tuning, but these
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