Watermark Detection

Watermark detection techniques aim to verify the origin and authenticity of digital content, particularly in the context of AI-generated text and images, combating issues like deepfakes and plagiarism. Current research focuses on developing robust watermarking schemes for various modalities (text, images, code) and improving detection methods, including those leveraging statistical analysis, adaptive learning, and diffusion models. These advancements are crucial for protecting intellectual property, ensuring content provenance, and mitigating the misuse of generative AI.