A single physically deployable curved-grid patch, optimized with differential evolution against the visual encoder's subspace, degrades classification, captioning, and VQA across several infrared vision-language models.
IRGPT: Under- standing real-world infrared image with bi-cross-modal curriculum on large-scale benchmark
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Revealing Physical-World Semantic Vulnerabilities: Universal Adversarial Patch for Infrared Vision-Language Models
A single physically deployable curved-grid patch, optimized with differential evolution against the visual encoder's subspace, degrades classification, captioning, and VQA across several infrared vision-language models.