{
  "id": 12526395,
  "title": "Secure Speculative Decoding for Large Language Models",
  "url": "https://urgent.news/2026/10/06/secure-speculative-decoding-for-large-language-models",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-06T16:59:37.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.08678v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Speculative decoding accelerates inference for a large language model (LLM), referred to as the \\emph{target model}, by first using a smaller model, referred to as the \\emph{draft model}, to generate candidate tokens and then verifying them with the target model for acceptance or rejection. Prior studies primarily focused on the efficiency-utility trade-off of speculative decoding, e.g., lossy…",
  "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."
}