Natural language processing has brought us enormous benefits, but with it challenges and concerns surrounding privacy. These issues are tackled in "Privacy in Natural Language Processing: Are we There yet?", a talk by Ivan Habernal of Paderborn University. The talk is part of OFAI's 2023 Fall Lecture Series.
Members of the public are cordially invited to attend the talk via Zoom on Wednesday, 6 December 2023 at 18:30 CET (UTC+1):
URL: https://us06web.zoom.us/j/84282442460?pwd=NHVhQnJXOVdZTWtNcWNRQllaQWFnQT09
Meeting ID: 842 8244 2460
Passcode: 678868
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Talk abstract: In this talk, I will explore the challenges and concerns surrounding privacy in natural language processing (NLP) and present potential solutions to address them. I will discuss the use of anonymization and differential privacy techniques to protect sensitive information while still enabling the training of accurate NLP models. Additionally, I will emphasize the importance of transparency and reproducibility when implementing privacy-preserving solutions in NLP.
Speaker biography: Ivan Habernal is an assistant professor for Natural Language Processing at Paderborn University, Germany, where he leads the Trustworthy Human Language Technologies group. His current research areas include privacy-preserving NLP, legal argument mining, and explainable and trustworthy models. His research track covers argument mining and computational argumentation, crowdsourcing, and serious games, among others.
