RingID: Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866929425627480064 |
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| author | Ci, Hai Yang, Pei Song, Yiren Shou, Mike Zheng |
| author_facet | Ci, Hai Yang, Pei Song, Yiren Shou, Mike Zheng |
| contents | 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 |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_14055 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | RingID: Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification Ci, Hai Yang, Pei Song, Yiren Shou, Mike Zheng Computer Vision and Pattern Recognition 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 |
| title | RingID: Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2404.14055 |