{
  "id": 12080193,
  "title": "Threat-Preserving Representation Sensitivity in Agent-Security Benchmarks",
  "url": "https://urgent.news/2026/10/02/threat-preserving-representation-sensitivity-in-agent-security",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-02T16:55:50.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.03585v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Security benchmarks for LLM-based agents often report the attack success rate (ASR) as a measure of model robustness and use these scores to compare different models and defense mechanisms, assuming that they describe the security of the agent. In this paper, we explore whether it also influences the benchmark's measurement. To measure the effect of the benchmark representation, we introduce…",
  "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."
}