A statistical watermark is a hidden mathematical pattern embedded within data or models to verify authenticity and trace unauthorized use. Unlike visible marks, it uses statistical properties—like subtle distribution shifts—to remain imperceptible yet detectable. It protects intellectual property, secures AI-generated content, and helps publishers, researchers, and enterprises prove ownership, deter data theft, and monitor model outputs.
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