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TempJail: Temporal Jailbreak Attacks against Image-to-Video Generation Models

arXiv cs.CV Multimodal & Generative Qi Lu, Zehui Guo, David Yuanda Gan, Zijing Li, Hengda Zhang, Weijun Xu, Qiankun Zhang 2026-08-27
Representative image for TempJail: Temporal Jailbreak Attacks against Image-to-Video Generation Models

TL;DR - TempJail is a temporal jailbreak framework that makes unsafe semantics emerge across an image-to-video sequence rather than within any single frame. It exposes safety gaps in commercial video generators and shows that frame-level filtering may miss harmful meaning composed over time.

  • Decomposes a malicious caption into an initial-frame visual condition and a temporal text instruction.
  • Uses controlled diffusion-latent perturbations with pretrained-encoder gradient guidance to inject camouflaged visual semantics.
  • Rewrites prompts into innocuous “subject-action-scene” templates that preserve temporal guidance while bypassing text safety filters.
  • Across Kling, Seedance, Veo, and PixVerse, it improves attack success over prior methods by 23.3% under GPT-5.2 evaluation and 22.0% under human evaluation.

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