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Leveraging Hierarchical Representations for Preserving Privacy and
  Utility in Text

Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text

20 October 2019
Oluwaseyi Feyisetan
Tom Diethe
Thomas Drake
ArXivPDFHTML

Papers citing "Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text"

14 / 14 papers shown
Title
Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks?
Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks?
Hao Du
Shang Liu
Yang Cao
AAML
55
0
0
28 Apr 2025
Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions
Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions
Hao Du
Shang Liu
Lele Zheng
Yang Cao
Atsuyoshi Nakamura
Lei Chen
AAML
114
3
0
21 Dec 2024
Reconstruction of Differentially Private Text Sanitization via Large Language Models
Reconstruction of Differentially Private Text Sanitization via Large Language Models
Shuchao Pang
Zhigang Lu
Haoran Wang
Peng Fu
Yongbin Zhou
Minhui Xue
AAML
61
4
0
16 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
TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods
TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods
Gabriel Loiseau
Damien Sileo
Damien Riquet
Maxime Meyer
Marc Tommasi
46
0
0
31 Jul 2024
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
30
18
0
22 Jan 2023
Synthetic Text Generation with Differential Privacy: A Simple and
  Practical Recipe
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
Xiang Yue
Huseyin A. Inan
Xuechen Li
Girish Kumar
Julia McAnallen
Hoda Shajari
Huan Sun
David Levitan
Robert Sim
58
79
0
25 Oct 2022
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
The Text Anonymization Benchmark (TAB): A Dedicated Corpus and
  Evaluation Framework for Text Anonymization
The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization
Ildikó Pilán
Pierre Lison
Lilja Ovrelid
Anthia Papadopoulou
David Sánchez
Montserrat Batet
AILaw
32
78
0
25 Jan 2022
BRR: Preserving Privacy of Text Data Efficiently on Device
BRR: Preserving Privacy of Text Data Efficiently on Device
Ricardo Silva Carvalho
Theodore Vasiloudis
Oluwaseyi Feyisetan
22
7
0
16 Jul 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
A Differentially Private Text Perturbation Method Using a Regularized
  Mahalanobis Metric
A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric
Zekun Xu
Abhinav Aggarwal
Oluwaseyi Feyisetan
Nathanael Teissier
11
54
0
22 Oct 2020
1