{
  "id": 1844075,
  "title": "The Model's Tell: Measuring Context-Leakage Attack Signals with Behavior Gauges",
  "url": "https://urgent.news/2026/08/18/the-models-tell-measuring-context-leakage-attack-signals-with",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-18T14:28:51.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.17829v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "LLMs increasingly rely on external contexts, such as pre-defined system prompts or retrieved documents, to improve generation quality. However, processing these contexts alongside user queries creates an attack surface: adversarial inputs can induce models to disclose them. Prior probing studies suggest that leakage-related signals emerge in hidden states, yet the need to extract these states…",
  "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."
}