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A Closer Look at the Calibration of Differentially Private Learners

A Closer Look at the Calibration of Differentially Private Learners

15 October 2022
Hanlin Zhang
Xuechen Li
Prithviraj Sen
Salim Roukos
Tatsunori Hashimoto
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Papers citing "A Closer Look at the Calibration of Differentially Private Learners"

15 / 15 papers shown
Title
The Calibration Generalization Gap
The Calibration Generalization Gap
Annabelle Carrell
Neil Rohit Mallinar
James Lucas
Preetum Nakkiran
UQCV
68
18
0
05 Oct 2022
When Does Differentially Private Learning Not Suffer in High Dimensions?
When Does Differentially Private Learning Not Suffer in High Dimensions?
Xuechen Li
Daogao Liu
Tatsunori Hashimoto
Huseyin A. Inan
Janardhan Kulkarni
Y. Lee
Abhradeep Thakurta
52
57
0
01 Jul 2022
How unfair is private learning ?
How unfair is private learning ?
Amartya Sanyal
Yaxian Hu
Fanny Yang
FaML
FedML
74
24
0
08 Jun 2022
Revisiting the Calibration of Modern Neural Networks
Revisiting the Calibration of Modern Neural Networks
Matthias Minderer
Josip Djolonga
Rob Romijnders
F. Hubis
Xiaohua Zhai
N. Houlsby
Dustin Tran
Mario Lucic
UQCV
96
364
0
15 Jun 2021
Numerical Composition of Differential Privacy
Numerical Composition of Differential Privacy
Sivakanth Gopi
Y. Lee
Lukas Wutschitz
54
178
0
05 Jun 2021
Differentially Empirical Risk Minimization under the Fairness Lens
Differentially Empirical Risk Minimization under the Fairness Lens
Cuong Tran
My H. Dinh
Ferdinando Fioretto
33
46
0
04 Jun 2021
Private Prediction Sets
Private Prediction Sets
Anastasios Nikolas Angelopoulos
Stephen Bates
Tijana Zrnic
Michael I. Jordan
38
12
0
11 Feb 2021
Extracting Training Data from Large Language Models
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
436
1,906
0
14 Dec 2020
Privacy Preserving Recalibration under Domain Shift
Privacy Preserving Recalibration under Domain Shift
Rachel Luo
Shengjia Zhao
Jiaming Song
Jonathan Kuck
Stefano Ermon
Silvio Savarese
14
3
0
21 Aug 2020
Calibration of Pre-trained Transformers
Calibration of Pre-trained Transformers
Shrey Desai
Greg Durrett
UQLM
280
300
0
17 Mar 2020
Differential Privacy Has Disparate Impact on Model Accuracy
Differential Privacy Has Disparate Impact on Model Accuracy
Eugene Bagdasaryan
Vitaly Shmatikov
137
480
0
28 May 2019
Subsampled Rényi Differential Privacy and Analytical Moments
  Accountant
Subsampled Rényi Differential Privacy and Analytical Moments Accountant
Yu Wang
Borja Balle
S. Kasiviswanathan
71
398
0
31 Jul 2018
Do Better ImageNet Models Transfer Better?
Do Better ImageNet Models Transfer Better?
Simon Kornblith
Jonathon Shlens
Quoc V. Le
OOD
MLT
153
1,324
0
23 May 2018
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLR
MIALM
MIACV
228
4,103
0
18 Oct 2016
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedML
SyDa
191
6,109
0
01 Jul 2016
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