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  3. Narrow fine-tuning erodes safety alignment in vision-languag
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Narrow fine-tuning erodes safety alignment in vision-language agents

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Evidence fresh

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: Narrow fine-tuning erodes safety alignment in vision-language agents

PDF: https://arxiv.org/pdf/2602.16931v1

Source count: 0

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

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Narrow fine-tuning erodes safety alignment in vision-language agents

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Last verification: 2026-04-02T02:30:40.136Z

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References: 0

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Coverage: 17%

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The Geometry of Alignment Collapse: When Fine-Tuning Breaks Safety
Score 1.0down
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Character as a Latent Variable in Large Language Models: A Mechanistic Account of Emergent Misalignment and Conditional Safety Failures
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Higher Viability
Few Tokens, Big Leverage: Preserving Safety Alignment by Constraining Safety Tokens during Fine-tuning
Score 7.0up
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Visual Self-Fulfilling Alignment: Shaping Safety-Oriented Personas via Threat-Related Images
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Can Safety Emerge from Weak Supervision? A Systematic Analysis of Small Language Models
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Risk Awareness Injection: Calibrating Vision-Language Models for Safety without Compromising Utility
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Higher Viability
Align Once, Benefit Multilingually: Enforcing Multilingual Consistency for LLM Safety Alignment
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OOD-MMSafe: Advancing MLLM Safety from Harmful Intent to Hidden Consequences
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