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Widespread Underestimation of Sensitivity in Differentially Private
  Libraries and How to Fix It

Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It

21 July 2022
Sílvia Casacuberta
Michael Shoemate
Salil P. Vadhan
Connor Wagaman
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Papers citing "Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It"

4 / 4 papers shown
Title
Better Gaussian Mechanism using Correlated Noise
Better Gaussian Mechanism using Correlated Noise
Christian Janos Lebeda
44
2
0
13 Aug 2024
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation
Jie Xu
Karthikeyan P. Saravanan
Rogier van Dalen
Haaris Mehmood
David Tuckey
Mete Ozay
56
6
0
10 May 2024
Analyzing the Differentially Private Theil-Sen Estimator for Simple
  Linear Regression
Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression
Jayshree Sarathy
Salil P. Vadhan
31
7
0
27 Jul 2022
Opacus: User-Friendly Differential Privacy Library in PyTorch
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
168
350
0
25 Sep 2021
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