Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1805.06093
Cited By
Towards Robust and Privacy-preserving Text Representations
16 May 2018
Yitong Li
Timothy Baldwin
Trevor Cohn
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Towards Robust and Privacy-preserving Text Representations"
42 / 42 papers shown
Title
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
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
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
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
Anne Lauscher
Federico Bianchi
Samuel R. Bowman
Dirk Hovy
40
7
0
08 Nov 2022
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
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
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
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
Gaurav Maheshwari
Michaël Perrot
FaML
44
11
0
22 Jun 2022
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
Richard Plant
V. Giuffrida
Dimitra Gkatzia
PILM
38
19
0
20 Apr 2022
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
Nikhil Kandpal
Eric Wallace
Colin Raffel
PILM
MU
54
275
0
14 Feb 2022
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
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
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
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
Karolina Stañczak
Isabelle Augenstein
30
111
0
28 Dec 2021
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
Shivashankar Subramanian
Xudong Han
Timothy Baldwin
Trevor Cohn
Lea Frermann
110
48
0
21 Sep 2021
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
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
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
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
Timour Igamberdiev
Ivan Habernal
GNN
31
33
0
10 Feb 2021
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
Masahiro Kaneko
Danushka Bollegala
FaML
38
38
0
23 Jan 2021
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
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
Lingjuan Lyu
Xuanli He
Yitong Li
35
89
0
03 Oct 2020
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
Lukas Lange
Anastasiia Iurshina
Heike Adel
Jannik Strötgen
30
29
0
19 May 2020
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
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
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
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
Max Friedrich
Arne Köhn
Gregor Wiedemann
Chris Biemann
OOD
MedIm
16
26
0
12 Jun 2019
Overlearning Reveals Sensitive Attributes
Congzheng Song
Vitaly Shmatikov
19
148
0
28 May 2019
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
Yanai Elazar
Yoav Goldberg
FaML
21
304
0
20 Aug 2018
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
312
13,373
0
25 Aug 2014
1