DESI Seminar: Watermarking Generative AI Models

We are excited to announce that Professor Lydia Y. Chen from the University of Neuchatel and Delft University of Technology, will be delivering a seminar on Watermarking Generative AI models.

ABOUT

Generative artificial intelligence (GAI) models, such as language models and diffusion models, are widely used for generating texts, images, tables, and graphs. There are increasing risks of abusing GAI to produce incorrect and adversarial contents. Watermarking GAI content is one of the essential solutions to govern the GAI applications and guardrail their misuse and harm to the society, even requested by the governmental policies. In this talk, I will discuss our ongoing work on post watermarking the content of different modalities from language models and diffusion models, i.e., synthetic text, tables, and graphs. We aim to design watermarking schemes to achieve objectives of having minimal degradation of the generated content quality, imperceptible to humans for avoiding alteration, detectable by machines for rigorous auditing, and robust against post editing attacks. I will highlight the key requirements and technical challenges with respect to the GAI models and the data modalities, through our preliminary results. 

When & Where: 11 Nov 2024 (Monday) @ 12:15-13:15 [Internef 237]