Eric Wallace

Eric Wallace is a PhD student at UC Berkeley advised by Dawn Song and Dan Klein. His research interests are in making large language models more robust, trustworthy, secure, and private. Eric's work is supported by the Apple Fellowship in AI/ML, and in the past he has been at Google, FAIR, AI2, and the University of Maryland. His expertise also includes memorization & privacy, in particular how LMs and diffusion models can memorize their training data raising concerns regarding privacy, copyright agreements, GDPR statutes, and more.