{
  "id": 4088,
  "url": "https://arxiv.org/abs/2605.18988v1",
  "title": "Surviving the Unseen: Predictive Defense for Novel Multi-Turn Multimodal Attacks",
  "summary": "The expansion of Multimodal Large Language Models (MLLMs) and their integration into autonomous agentic workflows has introduced a non-stationary attack surface. Empirical observations indicate that adversaries employ progressive, cross-modal perturbations that evade turn-specific guardrails by distributing malicious intent across longitudinal conversational trajectories. Static defense mechanisms, constrained by the Markov property, evaluate inputs in isolation and fail to detect cumulative str",
  "authors": "Doohee You",
  "category": "research",
  "topics": "military-security,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-18T18:06:20.000Z",
  "fetched_at": "2026-07-14T16:30:45.937Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4088",
  "original_url": "https://arxiv.org/abs/2605.18988v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}