{
  "id": 2062166,
  "title": "Detecting Backdoors in Object Detection via Pre-NMS Prediction Distribution Shift",
  "url": "https://urgent.news/2026/08/19/detecting-backdoors-in-object-detection-via-pre-nms-prediction",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-19T16:38:39.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.19088v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Object detection models deployed in safety-critical applications remain vulnerable to backdoor attacks that cause targeted misbehaviors when a hidden trigger is present. Existing detection methods either rely on trigger inversion or exploit architecture-specific assumptions, and critically, representative existing methods fail to generalize reliably to scene-level attacks, where a single trigger…",
  "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."
}