An early look at cryptographic watermarks for AI-generated content

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This post introduces the concept of cryptographic watermarking for AI-generated content as a potential solution to challenges in identifying AI artifacts and ensuring their provenance. It discusses the goals of robustness, undetectability, and unforgeability, contrasting deep learning-based watermarks with cryptographic approaches. The post details the framework of pseudorandom error-correcting codes, including key generation, encoding, and decoding algorithms, as a promising direction for developing robust and secure AI watermarks.