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A Differentially Private Text Perturbation Method Using a Regularized
  Mahalanobis Metric

A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric

22 October 2020
Zekun Xu
Abhinav Aggarwal
Oluwaseyi Feyisetan
Nathanael Teissier
ArXivPDFHTML

Papers citing "A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric"

12 / 12 papers shown
Title
PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles
PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles
Li Siyan
Vethavikashini Chithrra Raghuram
Omar Khattab
Julia Hirschberg
Zhou Yu
29
7
0
22 Oct 2024
A Different Level Text Protection Mechanism With Differential Privacy
A Different Level Text Protection Mechanism With Differential Privacy
Qingwen Fu
41
0
0
05 Sep 2024
Privacy Preserving Prompt Engineering: A Survey
Privacy Preserving Prompt Engineering: A Survey
Kennedy Edemacu
Xintao Wu
58
18
0
09 Apr 2024
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt
  Engineer
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
Junyuan Hong
Jiachen T. Wang
Chenhui Zhang
Zhangheng Li
Bo-wen Li
Zhangyang Wang
48
29
0
27 Nov 2023
Disentangling the Linguistic Competence of Privacy-Preserving BERT
Disentangling the Linguistic Competence of Privacy-Preserving BERT
Stefan Arnold
Nils Kemmerzell
Annika Schreiner
35
0
0
17 Oct 2023
Protecting User Privacy in Remote Conversational Systems: A
  Privacy-Preserving framework based on text sanitization
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization
Zhigang Kan
Linbo Qiao
Hao Yu
Liwen Peng
Yifu Gao
Dongsheng Li
28
20
0
14 Jun 2023
DP-BART for Privatized Text Rewriting under Local Differential Privacy
DP-BART for Privatized Text Rewriting under Local Differential Privacy
Timour Igamberdiev
Ivan Habernal
23
17
0
15 Feb 2023
Differentially Private Natural Language Models: Recent Advances and
  Future Directions
Differentially Private Natural Language Models: Recent Advances and Future Directions
Lijie Hu
Ivan Habernal
Lei Shen
Di Wang
AAML
35
18
0
22 Jan 2023
Differential Privacy in Natural Language Processing: The Story So Far
Differential Privacy in Natural Language Processing: The Story So Far
Oleksandra Klymenko
Stephen Meisenbacher
Florian Matthes
34
15
0
17 Aug 2022
You Are What You Write: Preserving Privacy in the Era of Large Language
  Models
You Are What You Write: Preserving Privacy in the Era of Large Language Models
Richard Plant
V. Giuffrida
Dimitra Gkatzia
PILM
38
19
0
20 Apr 2022
Selective Differential Privacy for Language Modeling
Selective Differential Privacy for Language Modeling
Weiyan Shi
Aiqi Cui
Evan Li
R. Jia
Zhou Yu
20
68
0
30 Aug 2021
On a Utilitarian Approach to Privacy Preserving Text Generation
On a Utilitarian Approach to Privacy Preserving Text Generation
Zekun Xu
Abhinav Aggarwal
Oluwaseyi Feyisetan
Nathanael Teissier
37
24
0
23 Apr 2021
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