Securely encoding authenticity tokens into artificial intelligence (AI) generated content
AssigneeMicrosoft Technology Licensing, LLC
InventorsMeenaz Aliraza Merchant, Bichong Li, Yue Yu
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AssigneeMicrosoft Technology Licensing, LLC
InventorsMeenaz Aliraza Merchant, Bichong Li, Yue Yu
Estimating the term…
This disclosure describes utilizing an image encoding system that provides a comprehensive and robust defense strategy for artificial intelligence (AI) generated content (AIGC). Specifically, the image encoding system provides a framework that combines multiple security measures with various transform domain methods in order to encode an image with multiple instances of an encoded image identifier. The image encoding system achieves a balance between maintaining the high quality of generative images and ensuring the traceability of the images. By doing so, the image encoding system addresses numerous technical challenges presented by AI-generated media, thereby ensuring that generative images are protected against unauthorized usage.
A computer-implemented method for encoding authenticity tokens into artificial intelligence (AI) generated content, comprising:
A computer-implemented method for encoding authenticity tokens into artificial intelligence (AI) generated content, comprising:
A system, comprising:
Dependencies are inferred from the claim text.