SynthID watermarks and identifies AI-generated content by embedding digital watermarks directly into AI-generated images, audio, text or video. SynthID’s watermarking technique is imperceptible to humans but detectable for identification. Being able to identify AI-generated content is critical to promoting trust in information.

2025年1月3日 · This survey provides a comprehensive review of three core areas: (1) the evolution of image generation technologies, highlighting key milestones such as the transition from GANs to diffusion models; (2) traditional and state-of-the-art digital image watermarking algorithms, encompassing spatial domain, transform domain, and deep learning-based ...

2023年8月29日 · Google DeepMind has launched a new watermarking tool that labels whether images have been generated with AI. The tool, called SynthID, will initially be available only to users of Google’s...

2024年2月26日 · Watermarks in AI-generated content can range from fully visible (Figure 1) to invisible (Figure 2). In AI specifically, watermarking involves adding patterns to digital content (such as images), and conveying information regarding the provenance of the content; these patterns can then be recognized either by humans or algorithmically.

2024年8月1日 · Robust watermarking for digital images is a process of embedding watermarks on the cover image and extracting them correctly under different attacks. The embedded watermark might be either visible or invisible. Deep learning extracts image features using neural networks, which are highly effective in feature extraction.

2023年10月6日 · Today, together with Inria, we are excited to share a research paper and code that details Stable Signature, an invisible watermarking technique we created to distinguish when an image is created by an open source generative AI model. Invisible watermarking incorporates information into digital content.

2024年12月13日 · In today's digital landscape, the blending of AI-generated and authentic content has underscored the need for copyright protection and content authentication. Watermarking has become a vital tool to address these challenges, safeguarding both generated and real content. Effective watermarking methods must withstand various distortions and attacks.

2025年2月20日 · Individuals can easily generate highly realistic images using artificial intelligence-generated content technologies, which complicates the verification of images’ ownership rights. This raises potential issues such as spreading misinformation, fraud, and copyright infringement. Digital watermarking is a promising solution to protect the copyright of a digital image by embedding watermarks ...

2025年2月16日 · This survey provides a comprehensive review of three core areas: the evolution of image generation technologies, highlighting key milestones such as the transition from GANs to diffusion models; traditional and state-of-the-art digital image watermarking algorithms, encompassing spatial domain, transform domain, and deep learning-based approaches.

AI watermarking is the process of embedding a recognizable, unique signal into the output of an artificial intelligence model, such as text or an image, to identify that content as AI generated. That signal, known as a watermark, can then be detected by algorithms designed to scan for it.