PrivateNLP 2024
Fifth Workshop on Privacy in Natural Language Processing
Colocated with ACL 2024, Aug 15, 2024, Bangkok, Thailand (and on Zoom)
Overview
Privacy-preserving data analysis has become essential in the age of Large Language Models (LLMs) where access to vast amounts of data can provide gains over tuned algorithms. A large proportion of user-contributed data comes from natural language e.g., text transcriptions from voice assistants.
It is therefore important to curate NLP datasets while preserving the privacy of the users whose data is collected, and train ML models that only retain non-identifying user data.
The workshop aims to bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to designing, building, verifying, and testing privacy preserving systems in the context of Natural Language Processing.
Information about the workshop's topics of interest can be found in the Call for Papers.
Agenda
Venue: Bangkok, Thailand
Zoom link: TBD
Date: August 15 2024
Timezone: GMT+7
Key Dates
Submission Deadline: May 17, 2024
Acceptance Notification: June 17, 2024
Camera-ready versions: July 1, 2024
Workshop: August 15, 2024
Keynote Speaker
TBD
Invited Speakers
TBD
Program
TBD
Contact
For questions/queries regarding the workshop or submission: privatenlp24-orga@lists.uni-padeborn.de