Generalised Differential Privacy for Text Document Processing

26 November 2018

Mark Dras

Papers citing "Generalised Differential Privacy for Text Document Processing"

23 / 23 papers shown

Title
On the Impact of Noise in Differentially Private Text Rewriting Stephen Meisenbacher Maulik Chevli Florian Matthes 63 0 0 31 Jan 2025
Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions Robin Carpentier B. Zhao Hassan Jameel Asghar Dali Kaafar 85 1 0 18 Nov 2024
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
Universal Exact Compression of Differentially Private Mechanisms Yanxiao Liu Wei-Ning Chen Ayfer Özgür Cheuk Ting Li 47 2 0 28 May 2024
Metric geometry of the privacy-utility tradeoff M. Boedihardjo Thomas Strohmer Roman Vershynin 23 1 0 01 May 2024
Disentangling the Linguistic Competence of Privacy-Preserving BERT Stefan Arnold Nils Kemmerzell Annika Schreiner 40 0 0 17 Oct 2023
Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting Xinlu Zhang Shiyang Li Xianjun Yang Chenxin Tian Yao Qin Linda R. Petzold 28 9 0 22 May 2023
On the Query Complexity of Training Data Reconstruction in Private Learning Prateeti Mukherjee Satyanarayana V. Lokam 35 0 0 29 Mar 2023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy Natalia Ponomareva Hussein Hazimeh Alexey Kurakin Zheng Xu Carson E. Denison H. B. McMahan Sergei Vassilvitskii Steve Chien Abhradeep Thakurta 105 167 0 01 Mar 2023
Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework Junzhuo Li Xinwei Wu Weilong Dong Shuangzhi Wu Chao Bian Deyi Xiong 33 3 0 16 Dec 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
Differential Privacy in Natural Language Processing: The Story So Far Oleksandra Klymenko Stephen Meisenbacher Florian Matthes 34 15 0 17 Aug 2022
You Are What You Write: Preserving Privacy in the Era of Large Language Models Richard Plant V. Giuffrida Dimitra Gkatzia PILM 43 19 0 20 Apr 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
Benchmarking Multimodal AutoML for Tabular Data with Text Fields Xingjian Shi Jonas W. Mueller Nick Erickson Mu Li Alexander J. Smola LMTD 48 29 0 04 Nov 2021
Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning Priya Basu Tiasa Singha Roy Rakshit Naidu Zumrut Muftuoglu 24 20 0 04 Oct 2021
Selective Differential Privacy for Language Modeling Weiyan Shi Aiqi Cui Evan Li R. Jia Zhou Yu 20 68 0 30 Aug 2021
On a Utilitarian Approach to Privacy Preserving Text Generation Zekun Xu Abhinav Aggarwal Oluwaseyi Feyisetan Nathanael Teissier 37 24 0 23 Apr 2021
A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric Zekun Xu Abhinav Aggarwal Oluwaseyi Feyisetan Nathanael Teissier 21 55 0 22 Oct 2020
Differentially Private Language Models Benefit from Public Pre-training Gavin Kerrigan Dylan Slack Jens Tuyls 24 56 0 13 Sep 2020
SoK: Differential Privacies Damien Desfontaines Balázs Pejó 38 122 0 04 Jun 2019
Local Obfuscation Mechanisms for Hiding Probability Distributions Yusuke Kawamoto Takao Murakami 27 26 0 03 Dec 2018