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To share or not to share: What risks would laypeople accept to give
  sensitive data to differentially-private NLP systems?
v1v2 (latest)

To share or not to share: What risks would laypeople accept to give sensitive data to differentially-private NLP systems?

International Conference on Language Resources and Evaluation (LREC), 2023
13 July 2023
Christopher F. Weiss
Frauke Kreuter
Ivan Habernal
ArXiv (abs)PDFHTML

Papers citing "To share or not to share: What risks would laypeople accept to give sensitive data to differentially-private NLP systems?"

3 / 3 papers shown
Investigating User Perspectives on Differentially Private Text Privatization
Stephen Meisenbacher
Alexandra Klymenko
Alexander Karpp
Florian Matthes
244
1
0
12 Mar 2025
The Role of Privacy Guarantees in Voluntary Donation of Private Health Data for Altruistic Goals
The Role of Privacy Guarantees in Voluntary Donation of Private Health Data for Altruistic Goals
Ruizhe Wang
Roberta De Viti
Aarushi Dubey
Elissa M. Redmiles
245
1
0
03 Jul 2024
DP-NMT: Scalable Differentially-Private Machine Translation
DP-NMT: Scalable Differentially-Private Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Timour Igamberdiev
Doan Nam Long Vu
Felix Künnecke
Zhuo Yu
Jannik Holmer
Ivan Habernal
257
8
0
24 Nov 2023
1
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