Chinese Logographic Watermark
Chinese logographic watermarking research focuses on embedding imperceptible yet detectable patterns into digital content (images and text) generated by AI models, primarily to verify authenticity and track usage. Current research explores various watermarking techniques, including those integrated into diffusion models and large language models (LLMs), with a focus on improving detection efficiency and robustness against removal attempts, even employing dual watermarking strategies. This field is crucial for mitigating the risks associated with AI-generated content, impacting areas like copyright protection, misinformation detection, and the trustworthiness of AI-powered systems.
Papers
November 20, 2024
May 12, 2024
March 12, 2024
October 13, 2023