{
  "id": 16205,
  "url": "https://arxiv.org/abs/2608.03700",
  "title": "When Agents Learn to Be You: Benchmarking Privacy Leakage, Impersonation Risk, and Defenses in Persona Skills",
  "summary": "arXiv:2608.03700v1 Announce Type: cross Abstract: Persona skills distill personal interaction histories into portable and executable artifacts for downstream agents. While enabling flexible personalization, this process concentrates fragmented personal signals, amplifies their impact through reuse, and challenges defenses designed for individual records or retrieval-based memory. To systematically investigate the safety of the persona-skill pipeline, we introduce AntiSkillBench, an end-to-end be",
  "authors": "Yongli Xiang, Zhifang Zhang, Bojun Yang, Ziming Hong, Lei Feng, Miao Xu, Tongliang Liu",
  "category": "research",
  "topics": "privacy-surveillance,agents-autonomy,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-05T04:00:00.000Z",
  "fetched_at": "2026-08-05T05:10:44.550Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/16205",
  "original_url": "https://arxiv.org/abs/2608.03700",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}