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News/Removing the NEEDLE in the Haystack: Backdoor Removal in LLMs via Weight Orthogonalisation
arxiv
PublishedOctober 3, 2026 at 4:00 AM

Removing the NEEDLE in the Haystack: Backdoor Removal in LLMs via Weight Orthogonalisation

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arXiv:2610.00348v1 Announce Type: cross Abstract: Backdoor attacks can be implanted in Large Language Models (LLMs) during training, causing unwanted behaviour when a trigger appears in the input. Existing backdoor defences for LLMs attempt to remove the backdoor but inadvertently shift the model's

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