Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations

20 October 2019

Papers citing "Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations"

36 / 36 papers shown

Title
Personalized Author Obfuscation with Large Language Models Mohammad Shokri Sarah Ita Levitan Rivka Levitan 22 0 0 17 May 2025
On the Impact of Noise in Differentially Private Text Rewriting Stephen Meisenbacher Maulik Chevli Florian Matthes 63 0 0 31 Jan 2025
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy Khaoula Chehbouni Martine De Cock Gilles Caporossi Afaf Taik Reihaneh Rabbany G. Farnadi 78 0 0 21 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
PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles Li Siyan Vethavikashini Chithrra Raghuram Omar Khattab Julia Hirschberg Zhou Yu 36 9 0 22 Oct 2024
Reconstruction of Differentially Private Text Sanitization via Large Language Models Shuchao Pang Zhigang Lu Haoran Wang Peng Fu Yongbin Zhou Minhui Xue AAML 61 4 0 16 Oct 2024
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning Fengyu Gao Ruida Zhou T. Wang Cong Shen Jing Yang 41 2 0 15 Oct 2024
A Different Level Text Protection Mechanism With Differential Privacy Qingwen Fu 41 0 0 05 Sep 2024
Universal Exact Compression of Differentially Private Mechanisms Yanxiao Liu Wei-Ning Chen Ayfer Özgür Cheuk Ting Li 49 2 0 28 May 2024
Delving into Differentially Private Transformer Youlong Ding Xueyang Wu Yining Meng Yonggang Luo Hao Wang Weike Pan 44 5 0 28 May 2024
Words Blending Boxes. Obfuscating Queries in Information Retrieval using Differential Privacy Francesco Luigi De Faveri G. Faggioli Nicola Ferro AAML 49 0 0 15 May 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues Zibo Wang Haichao Ji Yifei Zhu Dan Wang Zhu Han 58 1 0 19 Apr 2024
Privacy Preserving Prompt Engineering: A Survey Kennedy Edemacu Xintao Wu 63 18 0 09 Apr 2024
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG) Shenglai Zeng Jiankun Zhang Pengfei He Yue Xing Yiding Liu ... Jie Ren Shuaiqiang Wang Dawei Yin Yi Chang Jiliang Tang SILM 49 69 0 23 Feb 2024
ConfusionPrompt: Practical Private Inference for Online Large Language Models Peihua Mai Ran Yan Rui Ye Youjia Yang Yinchuan Li Yan Pang 24 1 0 30 Dec 2023
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer Junyuan Hong Jiachen T. Wang Chenhui Zhang Zhangheng Li Bo Li Zhangyang Wang 56 29 0 27 Nov 2023
Disentangling the Linguistic Competence of Privacy-Preserving BERT Stefan Arnold Nils Kemmerzell Annika Schreiner 40 0 0 17 Oct 2023
Privacy-Preserving Prompt Tuning for Large Language Model Services Yansong Li Zhixing Tan Yang Liu SILM VLM 58 64 0 10 May 2023
Human Behavior in the Time of COVID-19: Learning from Big Data Hanjia Lyu Arsal Imtiaz Yufei Zhao Jiebo Luo 37 6 0 23 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 108 167 0 01 Mar 2023
Differentially Private Natural Language Models: Recent Advances and Future Directions Lijie Hu Ivan Habernal Lei Shen Di Wang AAML 35 18 0 22 Jan 2023
Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework Junzhuo Li Xinwei Wu Weilong Dong Shuangzhi Wu Chao Bian Deyi Xiong 36 3 0 16 Dec 2022
An Easy-to-use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents Yakini Tchouka Jean-François Couchot David Laiymani OOD 39 1 0 02 Nov 2022
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe Xiang Yue Huseyin A. Inan Xuechen Li Girish Kumar Julia McAnallen Hoda Shajari Huan Sun David Levitan Robert Sim 63 79 0 25 Oct 2022
Differential Privacy in Natural Language Processing: The Story So Far Oleksandra Klymenko Stephen Meisenbacher Florian Matthes 34 15 0 17 Aug 2022
Differential Privacy: What is all the noise about? Roxana Dánger Mercaderes 43 3 0 19 May 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
Differentially Private Speaker Anonymization Ali Shahin Shamsabadi B. M. L. Srivastava A. Bellet Nathalie Vauquier Emmanuel Vincent Mohamed Maouche Marc Tommasi Nicolas Papernot MIACV 56 33 0 23 Feb 2022
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English Ilias Chalkidis Abhik Jana D. Hartung M. Bommarito Ion Androutsopoulos Daniel Martin Katz Nikolaos Aletras AILaw ELM 130 252 0 03 Oct 2021
BRR: Preserving Privacy of Text Data Efficiently on Device Ricardo Silva Carvalho Theodore Vasiloudis Oluwaseyi Feyisetan 22 7 0 16 Jul 2021
Differential Privacy for Text Analytics via Natural Text Sanitization Xiang Yue Minxin Du Tianhao Wang Yaliang Li Huan Sun Sherman S. M. Chow 24 84 0 02 Jun 2021
On a Utilitarian Approach to Privacy Preserving Text Generation Zekun Xu Abhinav Aggarwal Oluwaseyi Feyisetan Nathanael Teissier 39 24 0 23 Apr 2021
No Intruder, no Validity: Evaluation Criteria for Privacy-Preserving Text Anonymization Maximilian Mozes Bennett Kleinberg 25 14 0 16 Mar 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
The Optimal Mechanism in Differential Privacy: Multidimensional Setting Quan Geng Pramod Viswanath 95 123 0 02 Dec 2013