{
  "id": 66890,
  "title": "QR-Structured Thermal Triggers for Targeted Semantic Attacks on Infrared Vision-Language Models",
  "url": "https://urgent.news/2026/07/31/qr-structured-thermal-triggers-for-targeted-semantic-attacks-on",
  "topic": "ai",
  "section": "AI",
  "published": "2026-07-31T14:10:57.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2607.29445v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Infrared vision-language models (IR-VLMs) extend thermal perception to open-vocabulary classification, image captioning, and visual question answering. However, their robustness to structured thermal perturbations and the stability of cross-modal semantic alignment remain insufficiently studied. We propose QR-Structured Thermal Triggers (QR-STT), a stealthy, training-free, black-box framework for…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}