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Natural Language Understanding with Privacy-Preserving BERT

Natural Language Understanding with Privacy-Preserving BERT

15 April 2021
Chen Qu
Weize Kong
Liu Yang
Mingyang Zhang
Michael Bendersky
Marc Najork
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Papers citing "Natural Language Understanding with Privacy-Preserving BERT"

13 / 13 papers shown
Title
Anti-adversarial Learning: Desensitizing Prompts for Large Language Models
Anti-adversarial Learning: Desensitizing Prompts for Large Language Models
Xuan Li
Zhe Yin
Xiaodong Gu
Beijun Shen
AAML
MU
60
0
0
25 Apr 2025
Can Language Models Follow Multiple Turns of Entangled Instructions?
Can Language Models Follow Multiple Turns of Entangled Instructions?
Chi Han
ELM
LRM
46
1
0
17 Mar 2025
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy
Khaoula Chehbouni
Martine De Cock
Gilles Caporossi
Afaf Taik
Reihaneh Rabbany
G. Farnadi
73
0
0
21 Jan 2025
Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions
Robin Carpentier
B. Zhao
H. Asghar
Dali Kaafar
75
1
0
18 Nov 2024
On the Vulnerability of Text Sanitization
On the Vulnerability of Text Sanitization
Meng Tong
Kejiang Chen
Xiaojian Yuang
J. Liu
W. Zhang
Nenghai Yu
Jie Zhang
52
0
0
22 Oct 2024
A Different Level Text Protection Mechanism With Differential Privacy
A Different Level Text Protection Mechanism With Differential Privacy
Qingwen Fu
33
0
0
05 Sep 2024
Disentangling the Linguistic Competence of Privacy-Preserving BERT
Disentangling the Linguistic Competence of Privacy-Preserving BERT
Stefan Arnold
Nils Kemmerzell
Annika Schreiner
25
0
0
17 Oct 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
15
18
0
22 Jan 2023
When Federated Learning Meets Pre-trained Language Models'
  Parameter-Efficient Tuning Methods
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods
Zhuo Zhang
Yuanhang Yang
Yong Dai
Lizhen Qu
Zenglin Xu
FedML
24
65
0
20 Dec 2022
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
36
79
0
25 Oct 2022
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
191
434
0
04 Mar 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
6,950
0
20 Apr 2018
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
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