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DP-Rewrite: Towards Reproducibility and Transparency in Differentially
  Private Text Rewriting

DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting

22 August 2022
Timour Igamberdiev
Thomas Arnold
Ivan Habernal
ArXivPDFHTML

Papers citing "DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting"

16 / 16 papers shown
Title
A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage
A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage
Rui Xin
Niloofar Mireshghallah
Shuyue Stella Li
Michael Duan
Hyunwoo Kim
Yejin Choi
Yulia Tsvetkov
Sewoong Oh
Pang Wei Koh
69
1
0
28 Apr 2025
Spend Your Budget Wisely: Towards an Intelligent Distribution of the Privacy Budget in Differentially Private Text Rewriting
Spend Your Budget Wisely: Towards an Intelligent Distribution of the Privacy Budget in Differentially Private Text Rewriting
Stephen Meisenbacher
Chaeeun Joy Lee
Florian Matthes
46
0
0
28 Mar 2025
On the Impact of Noise in Differentially Private Text Rewriting
On the Impact of Noise in Differentially Private Text Rewriting
Stephen Meisenbacher
Maulik Chevli
Florian Matthes
58
0
0
31 Jan 2025
Private Language Models via Truncated Laplacian Mechanism
Private Language Models via Truncated Laplacian Mechanism
Tianhao Huang
Tao Yang
Ivan Habernal
Lijie Hu
Di Wang
13
1
0
10 Oct 2024
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge
  Distillation from Server
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server
Wenhao Wang
Xiaoyu Liang
Rui Ye
Jingyi Chai
Siheng Chen
Yanfeng Wang
SyDa
21
3
0
08 Oct 2024
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training
Stefan Arnold
Rene Gröbner
Annika Schreiner
27
0
0
30 Jun 2024
IDT: Dual-Task Adversarial Attacks for Privacy Protection
IDT: Dual-Task Adversarial Attacks for Privacy Protection
Pedro Faustini
Shakila Mahjabin Tonni
Annabelle McIver
Qiongkai Xu
Mark Dras
SILM
AAML
36
0
0
28 Jun 2024
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting
  by Learning from Human
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human
Shuo Huang
William MacLean
Xiaoxi Kang
Anqi Wu
Lizhen Qu
Qiongkai Xu
Zhuang Li
Xingliang Yuan
Gholamreza Haffari
30
0
0
06 Jun 2024
Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic
  Similarity and Privacy Preservation of Differentially Private Rewritten Text
Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text
Stephen Meisenbacher
Florian Matthes
30
0
0
30 May 2024
A Comparative Analysis of Word-Level Metric Differential Privacy:
  Benchmarking The Privacy-Utility Trade-off
A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off
Stephen Meisenbacher
Nihildev Nandakumar
Alexandra Klymenko
Florian Matthes
29
8
0
04 Apr 2024
Grounding Foundation Models through Federated Transfer Learning: A
  General Framework
Grounding Foundation Models through Federated Transfer Learning: A General Framework
Yan Kang
Tao Fan
Hanlin Gu
Xiaojin Zhang
Lixin Fan
Qiang Yang
AI4CE
68
19
0
29 Nov 2023
Trade-Offs Between Fairness and Privacy in Language Modeling
Trade-Offs Between Fairness and Privacy in Language Modeling
Cleo Matzken
Steffen Eger
Ivan Habernal
SILM
29
6
0
24 May 2023
Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting
Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting
Nina Mouhammad
Johannes Daxenberger
Benjamin Schiller
Ivan Habernal
15
2
0
06 Mar 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
11
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
13
18
0
22 Jan 2023
Privacy-Preserving Models for Legal Natural Language Processing
Privacy-Preserving Models for Legal Natural Language Processing
Ying Yin
Ivan Habernal
PILM
AILaw
4
8
0
05 Nov 2022
1