Papers with cross-modality safety alignment

2 papers
Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Models (2025.findings-naacl)

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Challenge: Recent studies focus on single-modality threats, but this approach fails to address cross-modal safety alignment.
Approach: They propose a safety alignment challenge to evaluate cross-modality safety alignment . they propose 'Safe Inputs but Unsafe Output' to consider safety of single modalities .
Outcome: The proposed safety alignment challenge examines cases where modalities are safe independently but could lead to unsafe outputs when combined.
Can Textual Unlearning Solve Cross-Modality Safety Alignment? (2024.findings-emnlp)

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Challenge: integrating new modalities into large language models creates new attack surface . existing safety training techniques like SFT and RLHF are not feasible in multi-modal settings .
Approach: They explore whether unlearning in the textual domain can be effective for cross-modality safety alignment.
Outcome: The proposed approach reduces the Attack Success Rate (ASR) to less than 8% and preserves the utility.

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