Homeopathic learning: poisoned fine-tuning data can enable a hidden backdoor when clean data is added
Read the original at arxiv.org→arXiv:2611.10110v1 Announce Type: new Abstract: We study homeopathic learning, a phenomenon where poisoned training data with little effect on its own can create a hidden backdoor once clean, contrasting data is...
Original headline: "Homeopathic Learning: Diluting poisoned fine-tuning data can strengthen its effect"
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- Nov 10, 05:00 UTC arXiv cs.AI lead source Homeopathic Learning: Diluting poisoned fine-tuning data can strengthen its effect