MoSign: Challenge-Response Motion-Watermark Authentication for Anonymous Virtual-Reality Users

arXiv:2609.29603 · cs.CR, cs.CV, cs.MM · Submitted 2026-08-30 · Read on arXiv

cs.CR, cs.CV, cs.MM

Submitted: 2026-08-30

Updated: 2026-08-30

Code: https://github.com/ultralytics/ultralytics

Terminology

• Verifier — 64× in this paper · explained in 2 episodes
• Accuracy — 29× in this paper · explained in 1 episode
• AUC — 28× in this paper · explained in 2 episodes
• Robustness — 17× in this paper · explained in 5 episodes
• Transformer — 7× in this paper · explained in 2 episodes
• Verification — 7× in this paper · explained in 2 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Diffusion Model — 6× in this paper · explained in 8 episodes
• Decode — 5× in this paper · explained in 2 episodes
• Diffusion Models — 4× in this paper · explained in 6 episodes
• Redundancy — 4× in this paper · explained in 2 episodes
• Provenance — 3× in this paper · explained in 3 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Motion Diffusion Model — 2× in this paper
• 3D Gaussian Splatting — 1× in this paper · explained in 2 episodes
• Accountability — 1× in this paper · explained in 2 episodes
• CVF International Conference on Computer Vision — 1× in this paper
• Calibration — 1× in this paper · explained in 7 episodes
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Fidelity — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Gaussian Splatting — 1× in this paper · explained in 4 episodes
• In International Conference on Learning Representations — 1× in this paper
• In International Conference on Machine Learning — 1× in this paper
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Wavelet Transform — 1× in this paper · explained in 2 episodes
• Zero-Shot Transfer — 1× in this paper · explained in 4 episodes

Sources

• LVMark: Robust Watermark for Latent Video Diffusion Models
• GaussianSeal: Rooting Adaptive Watermarks for 3D Gaussian Generation Model
• Inferring Private Personal Attributes of Virtual Reality Users from Head and Hand Motion Data
• Motion-Based User Identification across XR and Metaverse Applications by Deep Classification and Similarity Learning

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