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SRC-f111ee3d68bd0371 · Source record

RobustSora: De-Watermarked Benchmark for Robust AI-Generated Video Detection

arXiv; authors Zhuo Wang, Xiliang Liu and Ligang Sun · 3 connected claims

D01 · Marketing, Brand & Revenue SystemsD09 · Legal, Compliance, Trust & RegTechD15 · Experience Design, Interfaces & SpatialD16 · Creative Technology & Synthetic MediaD17 · Distribution, Discovery & Audience

Canonical route

https://arxiv.org/abs/2512.10248

Claims connected to this source

  1. MWITA-CA-2026-032RobustSora introduced a 6,500-video benchmark with authentic-clean, authentic-with-fake-watermark, generated-watermarked and generated-de-watermarked classes.Evidence B
  2. MWITA-CA-2026-033Across ten tested models, RobustSora reported performance changes of 2–8 percentage points under watermark manipulation.Evidence B
  3. MWITA-CA-2026-034RobustSora explicitly evaluates whether adding fake watermark cues to authentic videos triggers detector false alarms.Evidence B

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