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ROBIN++: Unified Copyright Protection and Tamper Localization for Diffusion Models Via Dual-Domain Synergistic
IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 12, 2026
Summary
ROBIN++ introduces a dual-domain approach for digital watermarking, decoupling robustness and fragility to enhance copyright protection and content integrity verification. This method significantly improves both watermark recovery and tamper localization accuracy.
Area of Science:
- Computer Science
- Digital Forensics
- Information Security
Background:
- Digital watermarking is crucial for verifying content provenance and integrity.
- Existing methods face a trade-off between copyright robustness and tamper localization sensitivity.
- This limitation stems from the entanglement of conflicting signals within a single domain.
Purpose of the Study:
- To propose ROBIN++, a novel digital watermarking paradigm utilizing a Dual-Domain Synergistic design.
- To decouple robustness and fragility during watermark injection for improved performance.
- To mitigate the inherent trade-off between copyright robustness and localization sensitivity.
Main Methods:
- Implemented an Adversarial Optimization Algorithm for frequency-domain copyright watermark injection.
- Integrated a Content-Aware Perturbation generator for spatial-domain localization watermark injection.
- Developed a dual-branch synergistic detector with Frequency-to-Spatial Synergy and Spatial-to-Frequency Refinement strategies.
Main Results:
- ROBIN++ significantly outperforms existing methods in copyright recovery.
- Achieved superior tamper localization accuracy compared to current approaches.
- Effectively mitigated the trade-off between robustness and localization sensitivity.
Conclusions:
- The Dual-Domain Synergistic design of ROBIN++ offers a superior solution for digital watermarking.
- Explicitly decoupling and then re-coupling robustness and fragility enhances watermark performance.
- ROBIN++ provides a robust framework for verifying generated content's integrity and provenance.
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