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DTSTART;TZID=America/New_York:20231120T100000
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DTSTAMP:20231030T170946Z
CREATED:20231024T152727Z
LAST-MODIFIED:20231030T170946Z
UID:10000347-1700474400-1700478000@cas.uncg.edu
SUMMARY:Keeping it safe: privacy-protecting data sharing for AI
DESCRIPTION:Join the UNCG Department of Computer Science for this presentation in their colloquium series! \n\n\n\nSharing 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.  \n\n\n\nIn this talk\, Dr. Liyue Fan of UNC Charlotte will discuss her research efforts to enable broad data sharing\, while protecting individual privacy.  \n\n\n\nA 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. \n\n\n\nJoin us in Moore Humanities & Research Building (MHRA)\, Room 331! Free and open to the public.
URL:https://cas.uncg.edu/event/department-of-computer-science-colloquium-series-keeping-it-safe-privacy-protecting-data-sharing-for-ai/
LOCATION:UNCG’s Moore Humanities and Research Administration (MHRA) Building\, 1111 Spring Garden St\, Greensboro\, NC\, 27412
CATEGORIES:Department of Computer Science Colloquium Series
ATTACH;FMTTYPE=image/jpeg:https://cas.uncg.edu/wp-content/uploads/2023/10/Speaker-headshot_Andi-Smith.jpg
ORGANIZER;CN="UNCG Department of Computer Science":MAILTO:ComputerScience@uncg.edu
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