Generative AI is revolutionizing the art industry by training models on billions of copyrighted artwork without consent, compensation or credit for the original artists. AI's ability to copy artists' styles from their copyrighted work is disrupting existing artists' income and livelihood, and discouraging aspiring art students from pursuing their dreams. In this talk, I will present our work “Glaze” that protects human artists from this threat by exploiting fundamental weaknesses in generative models. I will share some of the ups and downs of implementing and deploying an adversarial ML tool to a global user base, and reflect on mistakes and lessons learned.
In-person seminar
Shawn Shan is a PhD candidate in Computer Science at University of Chicago, advised by Ben Zhao and Heather Zheng. His research focuses on developing technical solutions to protect people from malicious uses of AI. His research has received the Best Paper and Internet Defense Award in USENIX, and covered by media outlets such as the New York Times, BBC, Scientific American, and MIT Tech Review.