Jeroen M. Galjaard — accepted AI-conference papers

2025

TabWak: A Watermark for Tabular Diffusion Models

Chaoyi Zhu, Jiayi Tang, Jeroen M. Galjaard, Pin-Yu Chen, Robert Birke, Cornelis Bos +1

ICLR 2025spotlight

Synthetic data offers alternatives for data augmentation and sharing. Till date, it remains unknown how to use watermarking techniques to trace and audit synthetic tables generated by tabular diffusion models to mitigate potential misuses. In this paper, we design TabWak, the first watermarking meth…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2025

TimeWak: Temporal Chained-Hashing Watermark for Time Series Data

Zhi Wen Soi, Chaoyi Zhu, Fouad Abiad, Aditya Shankar, Jeroen M. Galjaard, Huijuan Wang +1

NeurIPS 2025spotlight

Synthetic time series generated by diffusion models enable sharing privacy-sensitive datasets, such as patients' functional MRI records. Key criteria for synthetic data include high data utility and traceability to verify the data source. Recent watermarking methods embed in homogeneous latent space…

Cited by 0 Source ↗code ↗Scholar ↗