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RingID: Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification

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We revisit Tree-Ring Watermarking, a recent diffusion model watermarking method that demonstrates great robustness to various attacks. We conduct an in-depth study on it and reveal that the distribution shift unintentionally introduced by the watermarking process, apart from watermark pattern matching, contributes to its exceptional robustness. Our investigation further exposes inherent flaws in its original design, particularly in its ability to identify multiple distinct keys, where distribution shift offers no assistance. Based on these findings and analysis, we present RingID for enhanced multi-key identification. It consists of a novel multi-channel heterogeneous watermarking approach designed to seamlessly amalgamate distinctive advantages from diverse watermarks. Coupled with a series of suggested enhancements, RingID exhibits substantial advancements in multi-key identification. Github Page: https://github.com/showlab/RingID

Hai Ci, Pei Yang, Yiren Song, Mike Zheng Shou• 2024

Related benchmarks

TaskDatasetResultRank
Watermark GenerationCOCO
PSNR12.21
21
Image WatermarkingDiffDB
PSNR12.53
17
Generative Image WatermarkingStable Diffusion Server Scenario v1-5 (test)
CLIP Score0.3637
10
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