This state of the art will be led by Tom Sander, META AI (FAIR)

In this talk, we will turn our attention to the concept of watermarking, a powerful tool that considerably helps in the authentication of AI-generated content. We will discuss how watermarking can also help confirm that a model was trained on a specific dataset, a capability that is particularly useful in identifying copyright infringement and detecting instances of model stealing or imitation.

Tom’s work: https://scholar.google.com/citations?user=xrewx-sAAAAJ&hl=en