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"

40 / 40 papers shown

Title
Differential Privacy for Deep Learning in Medicine Marziyeh Mohammadi Mohsen Vejdanihemmat Mahshad Lotfinia M. Rusu Daniel Truhn Andreas K. Maier Soroosh Tayebi Arasteh 17 0 0 31 May 2025
Synopsis: Secure and private trend inference from encrypted semantic embeddings Madelyne Xiao Palak Jain Micha Gorelick Sarah Scheffler 319 0 0 29 May 2025
BeamClean: Language Aware Embedding Reconstruction Kaan Kale Kyle Mylonakis Jay Roberts Sidhartha Roy AAML 139 1 0 19 May 2025
Personalized Author Obfuscation with Large Language Models Mohammad Shokri Sarah Ita Levitan Rivka Levitan 43 0 0 17 May 2025
Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs Bowen Tan Zheng Xu Eric P. Xing Zhiting Hu Shanshan Wu SyDa 151 3 0 16 Mar 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 151 1 0 21 Jan 2025
Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions Robin Carpentier B. Zhao Hassan Jameel Asghar Dali Kaafar 121 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 99 13 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 130 5 0 16 Oct 2024
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning Fengyu Gao Ruida Zhou T. Wang Cong Shen Jing Yang 87 3 0 15 Oct 2024
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration Huiping Zhuang Jianwei Wang Zhengdong Lu Huiping Zhuang Haoran Li Huiping Zhuang Cen Chen RALM KELM 121 8 0 03 Jun 2024
Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data Haoran Li Xinyuan Zhao Dadi Guo Hanlin Gu Huiping Zhuang Yuxing Han Yangqiu Song Lixin Fan Qiang Yang 84 1 0 23 May 2024
Words Blending Boxes. Obfuscating Queries in Information Retrieval using Differential Privacy Francesco Luigi De Faveri G. Faggioli Nicola Ferro AAML 73 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 114 1 0 19 Apr 2024
InferDPT: Privacy-Preserving Inference for Black-box Large Language Model Meng Tong Kejiang Chen Jie Zhang Yuang Qi Weiming Zhang Neng H. Yu Tianwei Zhang Zhikun Zhang SILM 90 3 0 18 Oct 2023
A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings Danushka Bollegala Shuichi Otake T. Machide Ken-ichi Kawarabayashi 136 4 0 19 Sep 2023
Privacy-Preserving Prompt Tuning for Large Language Model Services Yansong Li Zhixing Tan Yang Liu SILM VLM 101 69 0 10 May 2023
Differentially Private Natural Language Models: Recent Advances and Future Directions Lijie Hu Ivan Habernal Lei Shen Di Wang AAML 87 19 0 22 Jan 2023
Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework Junzhuo Li Xinwei Wu Weilong Dong Shuangzhi Wu Chao Bian Deyi Xiong 108 4 0 16 Dec 2022
Directional Privacy for Deep Learning Pedro Faustini Natasha Fernandes Shakila Mahjabin Tonni Annabelle McIver Mark Dras 46 2 0 09 Nov 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 60 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 152 86 0 25 Oct 2022
Differentially Private Language Models for Secure Data Sharing Justus Mattern Zhijing Jin Benjamin Weggenmann Bernhard Schoelkopf Mrinmaya Sachan SyDa 99 52 0 25 Oct 2022
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees Jiaqian Ren Lei Jiang Hao Peng Lingjuan Lyu Zhiwei Liu Chaochao Chen Hongzhi Zhang Xu Bai Philip S. Yu 67 13 0 04 Sep 2022
A Customized Text Sanitization Mechanism with Differential Privacy Hui Chen Fengran Mo Yanhao Wang Cen Chen J. Nie Chengyu Wang Jamie Cui 94 36 0 04 Jul 2022
How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing Samuel Sousa Roman Kern PILM AILaw 71 46 0 20 May 2022
Sentence-level Privacy for Document Embeddings Casey Meehan Khalil Mrini Kamalika Chaudhuri 54 20 0 10 May 2022
The Limits of Word Level Differential Privacy Justus Mattern Benjamin Weggenmann Florian Kerschbaum 60 50 0 02 May 2022
You Are What You Write: Preserving Privacy in the Era of Large Language Models Richard Plant V. Giuffrida Dimitra Gkatzia PILM 89 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 141 35 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 275 267 0 03 Oct 2021
TEM: High Utility Metric Differential Privacy on Text Ricardo Silva Carvalho Theodore Vasiloudis Oluwaseyi Feyisetan 73 36 0 16 Jul 2021
BRR: Preserving Privacy of Text Data Efficiently on Device Ricardo Silva Carvalho Theodore Vasiloudis Oluwaseyi Feyisetan 106 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 96 86 0 02 Jun 2021
On a Utilitarian Approach to Privacy Preserving Text Generation Zekun Xu Abhinav Aggarwal Oluwaseyi Feyisetan Nathanael Teissier 79 25 0 23 Apr 2021
Natural Language Understanding with Privacy-Preserving BERT Chen Qu Weize Kong Liu Yang Mingyang Zhang Michael Bendersky Marc Najork 87 76 0 15 Apr 2021
No Intruder, no Validity: Evaluation Criteria for Privacy-Preserving Text Anonymization Maximilian Mozes Bennett Kleinberg 42 14 0 16 Mar 2021
A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric Zekun Xu Abhinav Aggarwal Oluwaseyi Feyisetan Nathanael Teissier 82 56 0 22 Oct 2020
Differentially Private Language Models Benefit from Public Pre-training Gavin Kerrigan Dylan Slack Jens Tuyls 86 57 0 13 Sep 2020
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text Oluwaseyi Feyisetan Tom Diethe Thomas Drake 71 75 0 20 Oct 2019