On a Utilitarian Approach to Privacy Preserving Text Generation

On a Utilitarian Approach to Privacy Preserving Text Generation

23 April 2021

Abhinav Aggarwal

Oluwaseyi Feyisetan

Nathanael Teissier

Papers citing "On a Utilitarian Approach to Privacy Preserving Text Generation"

16 / 16 papers shown

Title
Inspecting the Representation Manifold of Differentially-Private Text Stefan Arnold 37 0 0 19 Mar 2025
Investigating User Perspectives on Differentially Private Text Privatization Stephen Meisenbacher Alexandra Klymenko Alexander Karpp Florian Matthes 54 0 0 12 Mar 2025
Private Language Models via Truncated Laplacian Mechanism Tianhao Huang Tao Yang Ivan Habernal Lijie Hu Di Wang 35 1 0 10 Oct 2024
A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy Stephen Meisenbacher Maulik Chevli Florian Matthes 31 2 0 30 Jun 2024
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs Charlie Hou Akshat Shrivastava Hongyuan Zhan Rylan Conway Trang Le Adithya Sagar Giulia Fanti Daniel Lazar 33 8 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 48 4 0 30 May 2024
Words Blending Boxes. Obfuscating Queries in Information Retrieval using Differential Privacy Francesco Luigi De Faveri G. Faggioli Nicola Ferro AAML 36 0 0 15 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 44 6 0 02 May 2024
A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off Stephen Meisenbacher Nihildev Nandakumar Alexandra Klymenko Florian Matthes 34 8 0 04 Apr 2024
Guiding Text-to-Text Privatization by Syntax Stefan Arnold Dilara Yesilbas Sven Weinzierl 17 8 0 02 Jun 2023
Driving Context into Text-to-Text Privatization Stefan Arnold Dilara Yesilbas Sven Weinzierl 13 8 0 02 Jun 2023
Differentially Private Natural Language Models: Recent Advances and Future Directions Lijie Hu Ivan Habernal Lei Shen Di Wang AAML 30 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 23 3 0 16 Dec 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 58 79 0 25 Oct 2022
The Limits of Word Level Differential Privacy Justus Mattern Benjamin Weggenmann Florian Kerschbaum 6 47 0 02 May 2022
Certified Robustness to Adversarial Word Substitutions Robin Jia Aditi Raghunathan Kerem Göksel Percy Liang AAML 183 291 0 03 Sep 2019