{
  "id": 18686,
  "url": "https://arxiv.org/abs/2608.10933v1",
  "title": "SafeCA: Safe Cross-Attention Localization and Regulation for Text-to-Video Jailbreak Defense",
  "summary": "Text-to-Video (T2V) generative models are vulnerable to jailbreak attacks in real-world deployment, leading them to produce harmful or inappropriate content. Existing defense approaches mainly rely on input filtering or reconstruction, which not only incur high computational latency but also tend to distort semantics. To address these issues, we experimentally and systematically analyze the differences between clean and jailbreak samples in the cross-attention feature space, revealing for the fi",
  "authors": "Siyuan Liang, Yupeng Qiu, Junfeng Fang, Rong-Cheng Tu, Jiaxing Huang, Dacheng Tao",
  "category": "research",
  "topics": "regulation,safety-alignment,military-security",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-11T14:01:24.000Z",
  "fetched_at": "2026-08-12T05:10:43.828Z",
  "source_slug": "x-arxiv-red-teaming-query",
  "source_name": "arXiv red teaming query",
  "source_homepage": "https://arxiv.org/a/redteam",
  "ethics_ai_record_url": "https://ethics.ai/record/18686",
  "original_url": "https://arxiv.org/abs/2608.10933v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}