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University of Toronto

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TamperBench: Systematically Stress-Testing LLM Safety Under Fine-Tuning and Tampering

QuestionHow robust are open-weight safeguards to modifications that preserve useful capability?

Source summaryThe main comparison selects worst post-tampering StrongREJECT scores while bounding MMLU-Pro degradation to at most 10% relative.

NUWA research note · independent review pending

Cross-cutting researchBehavior

Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs

QuestionDoes a narrow training objective generalize into unrelated misaligned responses rather than merely accepting harmful requests?

Source summaryEducational framing changes generalization despite matching insecure code.

NUWA research note · independent review pending · Contains: question / method / findings / interpretation / limits

Risk GovernanceTechnical report

Model evaluation for extreme risks

QuestionHow should evaluation evidence constrain frontier development when tests cannot cover every risk?

Source summaryThe proposed workflow includes both pre-training assessment and ongoing evaluation during development.

NUWA research note · independent review pending

Cross-cutting research