Vision-Language Models
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Frozen vision-language models whose predictions can be altered by adversarial perturbations while confidence and image-text similarity patterns appear plausible
Evaluated for refusing unsafe/unanswerable image questions vs. correcting unsupported premises, per KoNA benchmark
Five frontier VLMs tested; also three open-weight VLMs served with no moderation layer
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