SOURCE-LINKED INTELLIGENCE
MoSign: Challenge-Response Motion-Watermark Authentication for Anonymous Virtual-Reality Users
Social virtual reality (VR) creates a paradox. A user's body motion is a high-entropy biometric: head and hand trajectories alone re-identify users among tens of thousands with over $94\%$ accuracy, so anonymizing the rendered avatar is a practical necessity. Yet a user often still wants to prove their identity to a chosen party from inside that anonymity. We present MoSign, which recasts digital watermarking as a challenge-response authentication protocol on the motion channel. MoSign embeds a time-varying keyed message into the style latent of a motion variational autoencoder via keystream-w
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-30T18:48:12.000Z
First collected: 2026-09-26T18:02:20.432Z. This is not the publication date.