This research introduces advanced watermarking methods that embed imperceptible information across multiple content types to trace AI-generated materials.

• Creates robust detection mechanisms that remain invisible to humans
• Enables effective content moderation and AI usage monitoring
• Develops specific watermarking techniques for images, audio, and text
• Addresses critical security challenges in the generative AI ecosystem

For security professionals, these watermarking innovations provide essential tools to authenticate content origins, detect potential misuse of AI models, and establish accountability frameworks for generative systems.

Watermarking across Modalities for Content Tracing and Generative AI