SoDa Symposium: In Celebration of Privacy Week, a conversation with Prof. Dr. Ivan Habernal webinar with Q&A
Co-Sponsored by the American Statistical Association
People, Language, Large Language Models, and Privacy: A Technical Problem or a Fundamental Puzzle?
Tuesday, January 28, 2025
12:00 pm – 1:00 pm EST (Online)
Abstract:
In this talk, I will most likely ask more questions than give answers. We know that people have a fundamental right to privacy, and we know that differential privacy gives us formal guarantees to protect the privacy of people in a database and to do machine learning. But humans also communicate through language, we use written text to do natural language processing, and we train large language models using the entire internet. So how does this work with privacy? From a technical perspective, it looks like it’s just about finding faster techniques or better models – I’m going to talk here about rewriting texts and generating synthetic data under differential privacy. But from a privacy perspective, things quickly get messy when we start asking fundamental questions, and we might be faced with the conundrum: What is privacy in language in the first place?
This one-hour webinar will include a presentation and a Q&A moderated by Frauke Kreuter.
Presenter:
Prof. Dr. Ivan Habernal
Head of the Trustworthy Human Language Technologies group
Full Professor
Research Center Trustworthy Data Science and Security and
Faculty of Computer Science, Ruhr-Universität Bochum
Web: https://www.trusthlt.org
Social: https://twitter.com/ivanhabern
https://sigmoid.social/@habern
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