Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2308.08774
Cited By
Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models
17 August 2023
Phillip Rust
Anders Søgaard
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models"
8 / 8 papers shown
Title
Federated learning, ethics, and the double black box problem in medical AI
Joshua Hatherley
Anders Søgaard
Angela Ballantyne
Ruben Pauwels
FedML
58
0
0
29 Apr 2025
Privacy and Accuracy-Aware AI/ML Model Deduplication
Hong Guan
Lei Yu
Lixi Zhou
Li Xiong
Kanchan Chowdhury
Lulu Xie
Xusheng Xiao
Jia Zou
44
0
0
04 Mar 2025
Data Privacy and Trustworthy Machine Learning
Martin Strobel
Reza Shokri
SILM
FaML
18
24
0
14 Sep 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
Hyperparameter Tuning with Renyi Differential Privacy
Nicolas Papernot
Thomas Steinke
123
119
0
07 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
348
0
25 Sep 2021
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,943
0
20 Apr 2018
1