2 papers
cs.CV2026
SERUM: Simple, Efficient, Robust, and Unifying Marking for Diffusion-based Image Generation
Jan Kociszewski, Hubert Jastrzębski, Tymoteusz Stępkowski +4
We propose SERUM: an intriguingly simple yet highly effective method for marking images generated by diffusion models (DMs). We only add a unique watermark noise to the initial dif…
cs.CR2020
A Systematic Review on Model Watermarking for Neural Networks
Franziska Boenisch
Machine learning (ML) models are applied in an increasing variety of domains. The availability of large amounts of data and computational resources encourages the development of ev…