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A Customized Text Sanitization Mechanism with Differential Privacy

A Customized Text Sanitization Mechanism with Differential Privacy

4 July 2022
Hui Chen
Fengran Mo
Yanhao Wang
Cen Chen
J. Nie
Chengyu Wang
Jamie Cui
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Papers citing "A Customized Text Sanitization Mechanism with Differential Privacy"

30 / 30 papers shown
Title
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks
Yang Liu
Bingjie Yan
Tianyuan Zou
Jianqing Zhang
Zixuan Gu
...
J. Li
Xiaozhou Ye
Ye Ouyang
Qiang Yang
Yuhang Zhang
ALM
155
1
0
24 Apr 2025
Inspecting the Representation Manifold of Differentially-Private Text
Inspecting the Representation Manifold of Differentially-Private Text
Stefan Arnold
39
0
0
19 Mar 2025
Investigating User Perspectives on Differentially Private Text Privatization
Stephen Meisenbacher
Alexandra Klymenko
Alexander Karpp
Florian Matthes
57
0
0
12 Mar 2025
DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting
Mingchen Li
Heng Fan
Song Fu
Junhua Ding
Yunhe Feng
43
0
0
06 Mar 2025
Token-Level Privacy in Large Language Models
Reém Harel
Niv Gilboa
Yuval Pinter
48
0
0
05 Mar 2025
PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation
PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation
Tao Fan
Guoqiang Ma
Yuanfeng Song
Lixin Fan
Kai Chen
Qiang Yang
53
1
0
21 Feb 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
On the Vulnerability of Text Sanitization
On the Vulnerability of Text Sanitization
Meng Tong
Kejiang Chen
Xiaojian Yuang
Xiaozhong Liu
Wenbo Zhang
Nenghai Yu
Jie Zhang
52
0
0
22 Oct 2024
Adanonymizer: Interactively Navigating and Balancing the Duality of
  Privacy and Output Performance in Human-LLM Interaction
Adanonymizer: Interactively Navigating and Balancing the Duality of Privacy and Output Performance in Human-LLM Interaction
Shuning Zhang
Xin Yi
Haobin Xing
Lyumanshan Ye
Yongquan Hu
Hewu Li
34
2
0
19 Oct 2024
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
Fengyu Gao
Ruida Zhou
T. Wang
Cong Shen
Jing Yang
37
2
0
15 Oct 2024
Evaluating Differentially Private Synthetic Data Generation in
  High-Stakes Domains
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains
Krithika Ramesh
Nupoor Gandhi
Pulkit Madaan
Lisa Bauer
Charith Peris
Anjalie Field
SyDa
37
1
0
10 Oct 2024
Thinking Outside of the Differential Privacy Box: A Case Study in Text
  Privatization with Language Model Prompting
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting
Stephen Meisenbacher
Florian Matthes
29
2
0
01 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
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training
Stefan Arnold
Rene Gröbner
Annika Schreiner
39
0
0
30 Jun 2024
A Collocation-based Method for Addressing Challenges in Word-level
  Metric Differential Privacy
A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy
Stephen Meisenbacher
Maulik Chevli
Florian Matthes
31
2
0
30 Jun 2024
DP-MLM: Differentially Private Text Rewriting Using Masked Language
  Models
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models
Stephen Meisenbacher
Maulik Chevli
Juraj Vladika
Florian Matthes
39
7
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
52
0
0
28 Jun 2024
PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of
  Large Language Models
PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models
Tao Fan
Yan Kang
Weijing Chen
Hanlin Gu
Yuanfeng Song
Lixin Fan
Kai Chen
Qiang Yang
29
0
0
18 Jun 2024
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation
  for Generative Large Language Models
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models
Aparna Elangovan
Ling Liu
Lei Xu
S. Bodapati
Dan Roth
ELM
30
9
0
28 May 2024
Words Blending Boxes. Obfuscating Queries in Information Retrieval using
  Differential Privacy
Words Blending Boxes. Obfuscating Queries in Information Retrieval using Differential Privacy
Francesco Luigi De Faveri
G. Faggioli
Nicola Ferro
AAML
36
0
0
15 May 2024
Privacy Preserving Prompt Engineering: A Survey
Privacy Preserving Prompt Engineering: A Survey
Kennedy Edemacu
Xintao Wu
47
18
0
09 Apr 2024
CoGenesis: A Framework Collaborating Large and Small Language Models for
  Secure Context-Aware Instruction Following
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following
Kaiyan Zhang
Jianyu Wang
Ermo Hua
Biqing Qi
Ning Ding
Bowen Zhou
SyDa
38
20
0
05 Mar 2024
Locally Differentially Private Document Generation Using Zero Shot
  Prompting
Locally Differentially Private Document Generation Using Zero Shot Prompting
Saiteja Utpala
Sara Hooker
Pin-Yu Chen
13
37
0
24 Oct 2023
InferDPT: Privacy-Preserving Inference for Black-box Large Language
  Model
InferDPT: Privacy-Preserving Inference for Black-box Large Language Model
Meng Tong
Kejiang Chen
Jie Zhang
Yuang Qi
Weiming Zhang
Neng H. Yu
Tianwei Zhang
Zhikun Zhang
SILM
30
2
0
18 Oct 2023
Disentangling the Linguistic Competence of Privacy-Preserving BERT
Disentangling the Linguistic Competence of Privacy-Preserving BERT
Stefan Arnold
Nils Kemmerzell
Annika Schreiner
30
0
0
17 Oct 2023
Privacy-Preserving In-Context Learning with Differentially Private
  Few-Shot Generation
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
Xinyu Tang
Richard Shin
Huseyin A. Inan
Andre Manoel
Fatemehsadat Mireshghallah
Zinan Lin
Sivakanth Gopi
Janardhan Kulkarni
Robert Sim
38
52
0
21 Sep 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
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
290
1,815
0
14 Dec 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,959
0
20 Apr 2018
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
272
31,267
0
16 Jan 2013
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