{
  "id": 2917982,
  "title": "Personalized Privacy Control in LLMs via Attention Head Intervention",
  "url": "https://urgent.news/2026/08/21/personalized-privacy-control-in-llms-via-attention-head-intervention",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-21T15:22:20.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.21209v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "The rise of agentic AI enables LLMs to access diverse user data, raising critical privacy concerns. Prior work on contextual privacy studies whether LLMs regulate information disclosure according to context-dependent norms. However, acceptable disclosure boundaries may vary across users even within the same context. To address this limitation, we introduce \\textit{personalized privacy}, which…",
  "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."
}