A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off

4 April 2024

Papers citing "A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off"

10 / 10 papers shown

Title
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting Timour Igamberdiev Thomas Arnold Ivan Habernal 58 19 0 22 Aug 2022
Fair NLP Models with Differentially Private Text Encoders Gaurav Maheshwari Pascal Denis Mikaela Keller A. Bellet FedML SILM 38 15 0 12 May 2022
CAPE: Context-Aware Private Embeddings for Private Language Learning Richard Plant Dimitra Gkatzia V. Giuffrida 33 27 0 27 Aug 2021
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 406 1,868 0 14 Dec 2020
A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric Zekun Xu Abhinav Aggarwal Oluwaseyi Feyisetan Nathanael Teissier 32 56 0 22 Oct 2020
Towards Differentially Private Text Representations Lingjuan Lyu Yitong Li Xuanli He Tong Xiao 36 39 0 25 Jun 2020
Information Leakage in Embedding Models Congzheng Song A. Raghunathan MIACV 27 266 0 31 Mar 2020
Input Perturbation: A New Paradigm between Central and Local Differential Privacy Yilin Kang Yong Liu Ben Niu Xin-Yi Tong Likun Zhang Weiping Wang 48 11 0 20 Feb 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 641 11,979 0 27 Aug 2019
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 203 4,075 0 18 Oct 2016