The evidence behind the guides

Sources

Find a study, check what it supports, and follow it back to a concern.

TopicCollection

Sources for Fine-tune theft

2 sources

Guide citations are still under editorial review.

Nevo and colleagues · RAND 2024 Research risk assessment

Securing AI Model Weights: Preventing Theft and Misuse of Frontier Models (original source, new tab)

Analyzes theft pathways and proposed security levels; not an inventory of confirmed theft incidents.

Research authors · 2026 Research preprint

Unintended Memorization of Sensitive Information in Fine-Tuned Language Models (original source, new tab)

Examines memorization of sensitive material in fine-tuning, including information in inputs; scope is the studied settings.

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