Secure and Robust Watermarking for AI-generated Images: A Comprehensive Survey

Watermarking is becoming essential infrastructure for AI accountability: As generative AI makes it easy to create realistic images, watermarking serves as a critical tool for tracking where images come from, proving who created them, and distinguishing AI-generated content from authentic photographs—key requirements for building trust in digital media.

Current watermarking methods face real security vulnerabilities: The survey identifies that existing watermarking techniques can be attacked or removed by bad actors, highlighting that simply adding invisible marks to images isn't enough; more robust defenses are needed to prevent malicious tampering or watermark stripping.

Balancing multiple competing demands remains challenging: Effective watermarking systems must simultaneously maintain image quality (so watermarks don't degrade what users see), embed enough information to be useful, and remain detectable even after editing—the survey suggests no current approach perfectly solves all three requirements.

Intellectual property protection and authenticity verification are interconnected problems: Beyond just protecting creators' rights, watermarking helps address broader societal concerns about deepfakes and misinformation by enabling verification of content origin, making it relevant to responsible AI deployment across media, journalism, and digital platforms.

The field requires continued research on attack-resistant designs: The survey emphasizes that as watermarking technology advances, so do adversarial techniques to defeat it, meaning ongoing innovation is needed to stay ahead of potential misuse and ensure watermarking remains a reliable mechanism for responsible AI governance.