DP-NMT: Scalable Differentially-Private Machine Translation

DP-NMT: Scalable Differentially-Private Machine Translation

24 November 2023

Timour Igamberdiev

Doan Nam Long Vu

Felix Künnecke

Jannik Holmer

Papers citing "DP-NMT: Scalable Differentially-Private Machine Translation"

12 / 12 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
Investigating User Perspectives on Differentially Private Text Privatization Stephen Meisenbacher Alexandra Klymenko Alexander Karpp Florian Matthes 49 0 0 12 Mar 2025
Data-Constrained Synthesis of Training Data for De-Identification Thomas Vakili Aron Henriksson Hercules Dalianis SyDa 44 0 0 24 Feb 2025
Balls-and-Bins Sampling for DP-SGD Lynn Chua Badih Ghazi Charlie Harrison Ethan Leeman Pritish Kamath Ravi Kumar Pasin Manurangsi Amer Sinha Chiyuan Zhang 80 3 0 21 Dec 2024
Scalable DP-SGD: Shuffling vs. Poisson Subsampling Lynn Chua Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi Amer Sinha Chiyuan Zhang 28 5 0 06 Nov 2024
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation Doan Nam Long Vu Timour Igamberdiev Ivan Habernal 39 0 0 26 Jul 2024
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 24 4 0 13 Jul 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 94 165 0 01 Mar 2023
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 134 344 0 13 Oct 2021
Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour I. Shilov Alexandre Sablayrolles Davide Testuggine Karthik Prasad ... Sayan Gosh Akash Bharadwaj Jessica Zhao Graham Cormode Ilya Mironov VLM 144 347 0 25 Sep 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 267 1,798 0 14 Dec 2020
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 134 416 0 29 Nov 2018