Watermarking Generative models

Generative models are increasingly used to create synthetic data across domains, from text and images to tabular data and time series. However, the proliferation of AI-generated content raises critical concerns about model ownership, data provenance, and intellectual property protection. Watermarking techniques offer a solution by embedding verifiable signatures into generative content, enabling creators to prove authenticity and trace misuse while maintaining the utility and quality of generated content.

Publications

TimeWak: Temporal Chained-Hashing Watermark for Time Series Data

Zhi Wen Soi, Chaoyi Zhu, Fouad Abiad, Aditya Shankar, Jeroen M. Galjaard, Huijuan Wang, Lydia Y. Chen (*equal contribution)

NeurIPS 2025 (🏆Spotlight): 📄Paper|💻 Code

Citation

@article{DBLP:journals/corr/abs-2506-06407,
  author       = {Zhi Wen Soi and
                  Chaoyi Zhu and
                  Fouad Abiad and
                  Aditya Shankar and
                  Jeroen M. Galjaard and
                  Huijuan Wang and
                  Lydia Y. Chen},
  title        = {TimeWak: Temporal Chained-Hashing Watermark for Time Series Data},
  journal      = {CoRR},
  volume       = {abs/2506.06407},
  year         = {2025},
  url          = {https://doi.org/10.48550/arXiv.2506.06407},
  doi          = {10.48550/ARXIV.2506.06407},
  eprinttype    = {arXiv},
  eprint       = {2506.06407},
  timestamp    = {Mon, 07 Jul 2025 21:56:27 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2506-06407.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

TabWak: A Watermark for Tabular Diffusion Models

Chaoyi Zhu, Jiayi Tang, Jeroen M. Galjaard, Pin-Yu Chen, Robert Birke, Cornelis Bos, Lydia Y. Chen

ICLR 2025 (🏆 Spotlight): 📄Paper|💻 Code| ��️Poster

Citation

@inproceedings{DBLP:conf/iclr/ZhuTGCBBC25,
  author       = {Chaoyi Zhu and
                  Jiayi Tang and
                  Jeroen M. Galjaard and
                  Pin{-}Yu Chen and
                  Robert Birke and
                  Cornelis Bos and
                  Lydia Y. Chen},
  title        = {TabWak: {A} Watermark for Tabular Diffusion Models},
  booktitle    = {The Thirteenth International Conference on Learning Representations,
                  {ICLR} 2025, Singapore, April 24-28, 2025},
  publisher    = {OpenReview.net},
  year         = {2025},
  url          = {https://openreview.net/forum?id=71pur4y8gs},
  timestamp    = {Thu, 15 May 2025 17:19:05 +0200},
  biburl       = {https://dblp.org/rec/conf/iclr/ZhuTGCBBC25.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

Duwak: Dual Watermarks in Large Language Models

Chaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Y. Chen

ACL 2024 📄 Paper|💻 Code

Citation

@inproceedings{DBLP:conf/acl/ZhuGCC24,
  author       = {Chaoyi Zhu and
                  Jeroen Galjaard and
                  Pin{-}Yu Chen and
                  Lydia Y. Chen},
  editor       = {Lun{-}Wei Ku and
                  Andre Martins and
                  Vivek Srikumar},
  title        = {Duwak: Dual Watermarks in Large Language Models},
  booktitle    = {Findings of the Association for Computational Linguistics, {ACL} 2024,
                  Bangkok, Thailand and virtual meeting, August 11-16, 2024},
  pages        = {11416--11436},
  publisher    = {Association for Computational Linguistics},
  year         = {2024},
  url          = {https://doi.org/10.18653/v1/2024.findings-acl.678},
  doi          = {10.18653/V1/2024.FINDINGS-ACL.678},
  timestamp    = {Tue, 24 Sep 2024 10:55:44 +0200},
  biburl       = {https://dblp.org/rec/conf/acl/ZhuGCC24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}