Copyright Protection for 3D Molecular Structures with Watermarking
1. This novel study introduces the first robust watermarking method for 3D molecular structures, addressing critical intellectual property concerns in AI-driven molecule generation. The method preserves molecular integrity while ensuring robustness against affine transformations, maintaining over 90% of basic properties and achieving watermark accuracy above 95%.
2. The research leverages atom-level features to embed watermarks, utilizing invariant features to withstand transformations like rotation, scaling, and translation. This ensures that the watermark remains detectable even after common molecular processing operations, without compromising the scientific utility of the molecules.
3. Comprehensive experiments on the QM9 and GEOM-DRUG datasets demonstrate the feasibility of embedding watermarks into molecules. The study shows that embedding watermarks has minimal impact on molecular properties, with atom stability and molecule stability remaining high even at higher watermark capacities.
4. The proposed method outperforms previous watermarking techniques, which often disrupt molecular structures. In contrast, this method maintains high bit accuracy while preserving molecular properties, making it a promising tool for safeguarding molecular data in bioengineering and biological research.
5. The study also evaluates the impact of watermark embedding on downstream tasks, such as molecule docking. The results show that watermarked molecules retain comparable binding affinities and conformations to the original molecules, confirming that the watermarking technique does not hinder their functionality in scientific applications.
6. The robustness of the watermarking method is tested against SE(3) transformations, including rotation, translation, and reflection. The method achieves high bit accuracies across different capacities and transformations, ensuring reliable copyright protection for molecules.
7. Ablation studies reveal the effectiveness of the model's architecture, highlighting the importance of atom and edge embedders in maintaining molecular properties and enhancing robustness against transformations. This delicate design contributes to the overall performance of the watermarking method.
πPaper:
arxiv.org/abs/2508.17702
π»Code:
github.com/RunwenHu/WMM
#MolecularWatermarking #AIinBioengineering #IntellectualPropertyProtection #MoleculeGeneration #ScientificUtility #RobustWatermarking #ComputationalBiology