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News/Safety Anchor: Defending Harmful Fine-tuning via Geometric Bottlenecks
arxiv
PublishedMay 11, 2026 at 4:00 AM
—neutral

Safety Anchor: Defending Harmful Fine-tuning via Geometric Bottlenecks

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arXiv:2605.05995v2 Announce Type: replace-cross Abstract: The safety alignment of Large Language Models (LLMs) remains vulnerable to Harmful Fine-tuning (HFT). While existing defenses impose constraints on parameters, gradients, or internal representations, we observe that they can be effectively ci

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