Research into the robustness of digital watermarking for AI-generated images has revealed that diffusion-based post-processing can effectively bypass Google DeepMind's SynthID watermarking system, as used in Nano Banana Pro. This method disrupts the watermark detection while maintaining the visible content of the image, posing a challenge to current detection methods. The findings are part of a responsible disclosure project aimed at encouraging the development of more resilient watermarking techniques that cannot be easily bypassed. Engaging the community to test and improve these workflows is crucial for advancing digital watermarking technology. This matters because it highlights vulnerabilities in current AI image watermarking systems, urging the need for more robust solutions.
