Pierre Fernandez

I am a Research Scientist at FAIR Paris (Fundamental AI Research lab at Meta).

My research focuses on content protection and safety in machine learning, with a particular interest in watermarking generative models. My goal is to make content generated by AI traceable and identifiable. I notably developed:

• the audio watermarking algorithm used in public research demos from FAIR, such as Audiobox and Seamless, serving 100k users daily (joint work with Hady Elsahar);
• the image watermarking algorithm used by Imagine;
• Stable Signature, a method to watermark generative models even if they are open-sourced.

I did my PhD at FAIR and Inria Rennes, advised by Matthijs Douze, Hervé Jégou and Teddy Furon. Prior to my PhD I studied at École polytechnique, majoring in computer science and mathematics for visual computing. I also hold a Master’s degree from École des Ponts and from Paris-Saclay University where I studied Mathematics for vision and learning.