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Towards Robust and Privacy-preserving Text Representations

Towards Robust and Privacy-preserving Text Representations

16 May 2018
Yitong Li
Timothy Baldwin
Trevor Cohn
ArXivPDFHTML

Papers citing "Towards Robust and Privacy-preserving Text Representations"

42 / 42 papers shown
Title
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
57
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
35
0
0
06 Jun 2024
Synthetic Data Generation for Intersectional Fairness by Leveraging
  Hierarchical Group Structure
Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structure
Gaurav Maheshwari
A. Bellet
Pascal Denis
Mikaela Keller
57
1
0
23 May 2024
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
30
20
0
14 Jun 2023
SocioProbe: What, When, and Where Language Models Learn about
  Sociodemographics
SocioProbe: What, When, and Where Language Models Learn about Sociodemographics
Anne Lauscher
Federico Bianchi
Samuel R. Bowman
Dirk Hovy
40
7
0
08 Nov 2022
Choose Your Lenses: Flaws in Gender Bias Evaluation
Choose Your Lenses: Flaws in Gender Bias Evaluation
Hadas Orgad
Yonatan Belinkov
27
35
0
20 Oct 2022
Privacy-Preserving Text Classification on BERT Embeddings with
  Homomorphic Encryption
Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption
Garam Lee
Minsoo Kim
J. Park
Seung-won Hwang
Jung Hee Cheon
38
17
0
05 Oct 2022
How Much User Context Do We Need? Privacy by Design in Mental Health NLP
  Application
How Much User Context Do We Need? Privacy by Design in Mental Health NLP Application
Ramit Sawhney
A. Neerkaje
Ivan Habernal
Lucie Flek
29
3
0
05 Sep 2022
Pile of Law: Learning Responsible Data Filtering from the Law and a
  256GB Open-Source Legal Dataset
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset
Peter Henderson
M. Krass
Lucia Zheng
Neel Guha
Christopher D. Manning
Dan Jurafsky
Daniel E. Ho
AILaw
ELM
138
97
0
01 Jul 2022
FairGrad: Fairness Aware Gradient Descent
FairGrad: Fairness Aware Gradient Descent
Gaurav Maheshwari
Michaël Perrot
FaML
44
11
0
22 Jun 2022
Optimising Equal Opportunity Fairness in Model Training
Optimising Equal Opportunity Fairness in Model Training
Aili Shen
Xudong Han
Trevor Cohn
Timothy Baldwin
Lea Frermann
FaML
32
28
0
05 May 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
On Information Hiding in Natural Language Systems
On Information Hiding in Natural Language Systems
Geetanjali Bihani
Julia Taylor Rayz
23
0
0
12 Mar 2022
Deduplicating Training Data Mitigates Privacy Risks in Language Models
Deduplicating Training Data Mitigates Privacy Risks in Language Models
Nikhil Kandpal
Eric Wallace
Colin Raffel
PILM
MU
54
275
0
14 Feb 2022
Learning Fair Representations via Rate-Distortion Maximization
Learning Fair Representations via Rate-Distortion Maximization
Somnath Basu Roy Chowdhury
Snigdha Chaturvedi
FaML
8
14
0
31 Jan 2022
Twitter-Demographer: A Flow-based Tool to Enrich Twitter Data
Twitter-Demographer: A Flow-based Tool to Enrich Twitter Data
Federico Bianchi
Vincenzo Cutrona
Dirk Hovy
24
4
0
26 Jan 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
40
78
0
25 Jan 2022
Privacy-aware Early Detection of COVID-19 through Adversarial Training
Privacy-aware Early Detection of COVID-19 through Adversarial Training
Omid Rohanian
Samaneh Kouchaki
A. Soltan
Jenny Yang
Morteza Rohanian
Yang Yang
David Clifton
AAML
OOD
31
6
0
09 Jan 2022
A Survey on Gender Bias in Natural Language Processing
A Survey on Gender Bias in Natural Language Processing
Karolina Stañczak
Isabelle Augenstein
30
111
0
28 Dec 2021
Fairness-aware Class Imbalanced Learning
Fairness-aware Class Imbalanced Learning
Shivashankar Subramanian
Afshin Rahimi
Timothy Baldwin
Trevor Cohn
Lea Frermann
FaML
109
28
0
21 Sep 2021
Evaluating Debiasing Techniques for Intersectional Biases
Evaluating Debiasing Techniques for Intersectional Biases
Shivashankar Subramanian
Xudong Han
Timothy Baldwin
Trevor Cohn
Lea Frermann
110
48
0
21 Sep 2021
Balancing out Bias: Achieving Fairness Through Balanced Training
Balancing out Bias: Achieving Fairness Through Balanced Training
Xudong Han
Timothy Baldwin
Trevor Cohn
26
39
0
16 Sep 2021
Benchmarking Differential Privacy and Federated Learning for BERT Models
Benchmarking Differential Privacy and Federated Learning for BERT Models
Priya Basu
Tiasa Singha Roy
Rakshit Naidu
Zumrut Muftuoglu
Sahib Singh
Fatemehsadat Mireshghallah
FedML
AI4MH
24
50
0
26 Jun 2021
Unsupervised Information Obfuscation for Split Inference of Neural
  Networks
Unsupervised Information Obfuscation for Split Inference of Neural Networks
Mohammad Samragh
H. Hosseini
Aleksei Triastcyn
K. Azarian
Joseph B. Soriaga
F. Koushanfar
25
11
0
23 Apr 2021
Privacy Regularization: Joint Privacy-Utility Optimization in Language
  Models
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models
Fatemehsadat Mireshghallah
Huseyin A. Inan
Marcello Hasegawa
Victor Rühle
Taylor Berg-Kirkpatrick
Robert Sim
19
40
0
12 Mar 2021
Privacy-Preserving Graph Convolutional Networks for Text Classification
Privacy-Preserving Graph Convolutional Networks for Text Classification
Timour Igamberdiev
Ivan Habernal
GNN
31
33
0
10 Feb 2021
Diverse Adversaries for Mitigating Bias in Training
Diverse Adversaries for Mitigating Bias in Training
Xudong Han
Timothy Baldwin
Trevor Cohn
11
62
0
25 Jan 2021
Dictionary-based Debiasing of Pre-trained Word Embeddings
Dictionary-based Debiasing of Pre-trained Word Embeddings
Masahiro Kaneko
Danushka Bollegala
FaML
38
38
0
23 Jan 2021
Debiasing Pre-trained Contextualised Embeddings
Debiasing Pre-trained Contextualised Embeddings
Masahiro Kaneko
Danushka Bollegala
218
137
0
23 Jan 2021
Mitigating the Position Bias of Transformer Models in Passage Re-Ranking
Mitigating the Position Bias of Transformer Models in Passage Re-Ranking
Sebastian Hofstatter
Aldo Lipani
Sophia Althammer
Markus Zlabinger
Allan Hanbury
60
15
0
18 Jan 2021
Differentially Private Representation for NLP: Formal Guarantee and An
  Empirical Study on Privacy and Fairness
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness
Lingjuan Lyu
Xuanli He
Yitong Li
35
89
0
03 Oct 2020
Demoting Racial Bias in Hate Speech Detection
Demoting Racial Bias in Hate Speech Detection
Mengzhou Xia
Anjalie Field
Yulia Tsvetkov
38
116
0
25 May 2020
Adversarial Alignment of Multilingual Models for Extracting Temporal
  Expressions from Text
Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text
Lukas Lange
Anastasiia Iurshina
Heike Adel
Jannik Strötgen
30
29
0
19 May 2020
Information Leakage in Embedding Models
Information Leakage in Embedding Models
Congzheng Song
A. Raghunathan
MIACV
24
262
0
31 Mar 2020
Don't Take the Premise for Granted: Mitigating Artifacts in Natural
  Language Inference
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference
Yonatan Belinkov
Adam Poliak
Stuart M. Shieber
Benjamin Van Durme
Alexander M. Rush
27
94
0
09 Jul 2019
Transfer of Machine Learning Fairness across Domains
Transfer of Machine Learning Fairness across Domains
Candice Schumann
Xuezhi Wang
Alex Beutel
Jilin Chen
Hai Qian
Ed H. Chi
35
69
0
24 Jun 2019
Mitigating Gender Bias in Natural Language Processing: Literature Review
Mitigating Gender Bias in Natural Language Processing: Literature Review
Tony Sun
Andrew Gaut
Shirlyn Tang
Yuxin Huang
Mai Elsherief
Jieyu Zhao
Diba Mirza
E. Belding-Royer
Kai-Wei Chang
William Yang Wang
AI4CE
47
543
0
21 Jun 2019
Adversarial Learning of Privacy-Preserving Text Representations for
  De-Identification of Medical Records
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records
Max Friedrich
Arne Köhn
Gregor Wiedemann
Chris Biemann
OOD
MedIm
16
26
0
12 Jun 2019
Overlearning Reveals Sensitive Attributes
Overlearning Reveals Sensitive Attributes
Congzheng Song
Vitaly Shmatikov
19
148
0
28 May 2019
Generalised Differential Privacy for Text Document Processing
Generalised Differential Privacy for Text Document Processing
Natasha Fernandes
Mark Dras
Annabelle McIver
13
107
0
26 Nov 2018
Adversarial Removal of Demographic Attributes from Text Data
Adversarial Removal of Demographic Attributes from Text Data
Yanai Elazar
Yoav Goldberg
FaML
21
304
0
20 Aug 2018
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
312
13,373
0
25 Aug 2014
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