Private Next Location Prediction using Transformers: Enhancing Accuracy under Differential Privacy Constraints

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationSSTD 2025 - Proceedings of the 19th International Symposium on Spatial and Temporal Data
PublisherAssociation for Computing Machinery, Inc
Pages171-180
Number of pages10
ISBN (Electronic)9798400720949
DOIs
StatePublished - Oct 14 2025
Externally publishedYes
Event19th International Symposium on Spatial and Temporal Data, SSTD 2025 - Osaka, Japan
Duration: Aug 25 2025Aug 27 2025

Publication series

NameSSTD 2025 - Proceedings of the 19th International Symposium on Spatial and Temporal Data

Conference

Conference19th International Symposium on Spatial and Temporal Data, SSTD 2025
Country/TerritoryJapan
CityOsaka
Period8/25/258/27/25

ASJC Scopus Subject Areas

  • Anesthesiology and Pain Medicine
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Electrical and Electronic Engineering

Keywords

  • Differential privacy
  • LLMs
  • transformers

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