Sentence-level Privacy for Document Embeddings

10 May 2022

Papers citing "Sentence-level Privacy for Document Embeddings"

16 / 16 papers shown

Title
Spend Your Budget Wisely: Towards an Intelligent Distribution of the Privacy Budget in Differentially Private Text Rewriting Stephen Meisenbacher Chaeeun Joy Lee Florian Matthes 46 0 0 28 Mar 2025
IDT: Dual-Task Adversarial Attacks for Privacy Protection Pedro Faustini Shakila Mahjabin Tonni Annabelle McIver Qiongkai Xu Mark Dras SILM AAML 44 0 0 28 Jun 2024
The Fire Thief Is Also the Keeper: Balancing Usability and Privacy in Prompts Zhili Shen Zihang Xi Ying He Wei Tong Jingyu Hua Sheng Zhong SILM 40 7 0 20 Jun 2024
Reconstructing training data from document understanding models Jérémie Dentan Arnaud Paran A. Shabou AAML SyDa 41 1 0 05 Jun 2024
Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text Stephen Meisenbacher Florian Matthes 43 0 0 30 May 2024
$1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy$ 1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy Stephen Meisenbacher Maulik Chevli Florian Matthes 33 6 0 02 May 2024
Privacy Preserving Prompt Engineering: A Survey Kennedy Edemacu Xintao Wu 39 18 0 09 Apr 2024
PrIeD-KIE: Towards Privacy Preserved Document Key Information Extraction S. Saifullah S. Agne Andreas Dengel Sheraz Ahmed 16 0 0 05 Oct 2023
LatticeGen: A Cooperative Framework which Hides Generated Text in a Lattice for Privacy-Aware Generation on Cloud Mengke Zhang Tianxing He Tianle Wang Lu Mi Fatemehsadat Mireshghallah Binyi Chen Hao Wang Yulia Tsvetkov 32 0 0 29 Sep 2023
DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass Minxin Du Xiang Yue Sherman S. M. Chow Tianhao Wang Chenyu Huang Huan Sun SILM 29 58 0 13 Sep 2023
Training Data Extraction From Pre-trained Language Models: A Survey Shotaro Ishihara 24 46 0 25 May 2023
Differentially Private Natural Language Models: Recent Advances and Future Directions Lijie Hu Ivan Habernal Lei Shen Di Wang AAML 15 18 0 22 Jan 2023
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 38 79 0 25 Oct 2022
TEM: High Utility Metric Differential Privacy on Text Ricardo Silva Carvalho Theodore Vasiloudis Oluwaseyi Feyisetan 39 36 0 16 Jul 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 290 1,814 0 14 Dec 2020
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 69 148 0 01 May 2018