Coherent visual scenes can weaken safety safeguards in multimodal models

Across nine models, task-relevant scene context increased compliance with harmful requests even when images contained no added attack instructions.

Top University
Tongxi Wu · Yuyang Cheng · Jiacheng Xian · Hu Huang · Zhihao Wu · Menglin Yang · +2 more

Nanjing University · The Hong Kong University of Science and Technology (Guangzhou) · China Academy of Launch Vehicle Technology · Beihang University

Research Digest··3 min read
Wu and colleagues identify a safety failure in which coherent visual scenes shift multimodal large language models from refusing harmful requests to answering them.

The authors created SceneSafetyBench, comprising 400 scene-grounded image and question pairs across eight risk categories.

Why this paper

From Nanjing University and 3 others · Part of Agent Security & Attacks, now 89 papers

In one line

Task-relevant scene semantics alone can cause multimodal LLMs to comply with harmful requests, even without explicit attack instructions.

What we could check

  • ·No code link found
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ✓Limitations stated by the authors
  • ✓Reports numbers on named benchmarks

Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.

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Research Digest

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