Join the UNCG Department of Computer Science for this presentation in their colloquium series!
Sharing individually contributed data is a cornerstone of modern artificial intelligence.For example, large language models (LLMs) were trained on hundreds of billion tokens scraped from the internet. However, the data generated by individual users contain sensitive information, the disclosure of which may incur serious privacy concerns.
In this talk, Dr. Liyue Fan of UNC Charlotte will discuss her research efforts to enable broad data sharing, while protecting individual privacy.
A series of studies will be presented to show the research work that provides rigorous, provable privacy guarantees while retaining the utility of the data. Future research opportunities in privacy-protecting artificial intelligence will also be shared.
Join us in Moore Humanities & Research Building (MHRA), Room 331! Free and open to the public.