Fair NLP Models with Differentially Private Text Encoders

Fair NLP Models with Differentially Private Text Encoders

12 May 2022

Gaurav Maheshwari

Papers citing "Fair NLP Models with Differentially Private Text Encoders"

12 / 12 papers shown

Title
Investigating User Perspectives on Differentially Private Text Privatization Stephen Meisenbacher Alexandra Klymenko Alexander Karpp Florian Matthes 52 0 0 12 Mar 2025
Differentially Private Multimodal Laplacian Dropout (DP-MLD) for EEG Representative Learning Xiaowen Fu Bingxin Wang Xinzhou Guo Guoqing Liu Yang Xiang 35 0 0 20 Sep 2024
A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off Stephen Meisenbacher Nihildev Nandakumar Alexandra Klymenko Florian Matthes 34 8 0 04 Apr 2024
Fair Without Leveling Down: A New Intersectional Fairness Definition Gaurav Maheshwari A. Bellet Pascal Denis Mikaela Keller FaML 35 2 0 21 May 2023
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
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey Otávio Parraga Martin D. Móre C. M. Oliveira Nathan Gavenski L. S. Kupssinskü Adilson Medronha L. V. Moura Gabriel S. Simões Rodrigo C. Barros 42 11 0 10 Nov 2022
FairGrad: Fairness Aware Gradient Descent Gaurav Maheshwari Michaël Perrot FaML 36 11 0 22 Jun 2022
Linear Adversarial Concept Erasure Shauli Ravfogel Michael Twiton Yoav Goldberg Ryan Cotterell KELM 81 57 0 28 Jan 2022
Adversarial Scrubbing of Demographic Information for Text Classification Somnath Basu Roy Chowdhury Sayan Ghosh Yiyuan Li Junier B. Oliva Shashank Srivastava Snigdha Chaturvedi 42 14 0 17 Sep 2021
CAPE: Context-Aware Private Embeddings for Private Language Learning Richard Plant Dimitra Gkatzia V. Giuffrida 17 27 0 27 Aug 2021
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation Tianlu Wang Xi Lin Nazneen Rajani Bryan McCann Vicente Ordonez Caimng Xiong CVBM 157 54 0 03 May 2020
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 674 0 17 Feb 2018