Differential Privacy in Natural Language Processing: The Story So Far

17 August 2022

Papers citing "Differential Privacy in Natural Language Processing: The Story So Far"

13 / 13 papers shown

Title
Empirical Calibration and Metric Differential Privacy in Language Models Pedro Faustini Natasha Fernandes Annabelle McIver Mark Dras 65 0 0 18 Mar 2025
New Trends for Modern Machine Translation with Large Reasoning Models Sinuo Liu Chenyang Lyu M. Wu Longyue Wang Weihua Luo Kaifu Zhang Zifu Shang LRM 63 2 0 13 Mar 2025
What Can Natural Language Processing Do for Peer Review? Ilia Kuznetsov Osama Mohammed Afzal Koen Dercksen Nils Dycke Alexander Goldberg ... Jingyan Wang Xiaodan Zhu Anna Rogers Nihar B. Shah Iryna Gurevych 36 12 0 10 May 2024
The Ethics of Automating Legal Actors Josef Valvoda Alec Thompson Ryan Cotterell Simone Teufel AILaw ELM 24 1 0 01 Dec 2023
To share or not to share: What risks would laypeople accept to give sensitive data to differentially-private NLP systems? Christopher F. Weiss Frauke Kreuter Ivan Habernal 29 4 0 13 Jul 2023
Towards Building the Federated GPT: Federated Instruction Tuning Jianyi Zhang Saeed Vahidian Martin Kuo Chunyuan Li Ruiyi Zhang Tong Yu Yufan Zhou Guoyin Wang Yiran Chen ALM FedML 35 108 0 09 May 2023
DP-BART for Privatized Text Rewriting under Local Differential Privacy Timour Igamberdiev Ivan Habernal 15 17 0 15 Feb 2023
Differentially Private Natural Language Models: Recent Advances and Future Directions Lijie Hu Ivan Habernal Lei Shen Di Wang AAML 27 18 0 22 Jan 2023
Legal-Tech Open Diaries: Lesson learned on how to develop and deploy light-weight models in the era of humongous Language Models Stelios Maroudas Sotiris Legkas Prodromos Malakasiotis Ilias Chalkidis VLM AILaw ALM ELM 29 4 0 24 Oct 2022
Differentially Private Fine-tuning of Language Models Da Yu Saurabh Naik A. Backurs Sivakanth Gopi Huseyin A. Inan ... Y. Lee Andre Manoel Lukas Wutschitz Sergey Yekhanin Huishuai Zhang 134 346 0 13 Oct 2021
TEM: High Utility Metric Differential Privacy on Text Ricardo Silva Carvalho Theodore Vasiloudis Oluwaseyi Feyisetan 39 36 0 16 Jul 2021
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning Da Yu Huishuai Zhang Wei Chen Tie-Yan Liu FedML SILM 94 110 0 25 Feb 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