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2102.09159
Cited By
Robust and Differentially Private Mean Estimation
18 February 2021
Xiyang Liu
Weihao Kong
Sham Kakade
Sewoong Oh
OOD
FedML
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Papers citing
"Robust and Differentially Private Mean Estimation"
15 / 15 papers shown
Title
Towards Trustworthy Federated Learning with Untrusted Participants
Youssef Allouah
R. Guerraoui
John Stephan
FedML
46
0
0
03 May 2025
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates
Puning Zhao
Jiafei Wu
Zhe Liu
Chong Wang
Rongfei Fan
Qingming Li
40
1
0
19 Aug 2024
Private Means and the Curious Incident of the Free Lunch
Jack Fitzsimons
James Honaker
Michael Shoemate
Vikrant Singhal
35
2
0
19 Aug 2024
Data Minimization at Inference Time
Cuong Tran
Ferdinando Fioretto
13
1
0
27 May 2023
Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models
Jamil Arbas
H. Ashtiani
Christopher Liaw
40
23
0
07 Mar 2023
Personalized Privacy Auditing and Optimization at Test Time
Cuong Tran
Ferdinando Fioretto
8
2
0
31 Jan 2023
Near Optimal Private and Robust Linear Regression
Xiyang Liu
Prateek Jain
Weihao Kong
Sewoong Oh
A. Suggala
33
9
0
30 Jan 2023
A Fast Algorithm for Adaptive Private Mean Estimation
John C. Duchi
Saminul Haque
Rohith Kuditipudi
FedML
19
15
0
17 Jan 2023
Scalable Collaborative Learning via Representation Sharing
Frédéric Berdoz
Abhishek Singh
Martin Jaggi
Ramesh Raskar
FedML
17
3
0
20 Nov 2022
Differentially Private Regression with Unbounded Covariates
Jason Milionis
Alkis Kalavasis
Dimitris Fotakis
Stratis Ioannidis
23
10
0
19 Feb 2022
Tight and Robust Private Mean Estimation with Few Users
Cheng-Han Chiang
Vahab Mirrokni
Hung-yi Lee
FedML
28
28
0
22 Oct 2021
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
Gavin Brown
Marco Gaboardi
Adam D. Smith
Jonathan R. Ullman
Lydia Zakynthinou
FedML
21
48
0
24 Jun 2021
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
J. Hayase
Weihao Kong
Raghav Somani
Sewoong Oh
AAML
11
149
0
22 Apr 2021
On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians
Ishaq Aden-Ali
H. Ashtiani
Gautam Kamath
37
41
0
19 Oct 2020
Privately Learning High-Dimensional Distributions
Gautam Kamath
Jerry Li
Vikrant Singhal
Jonathan R. Ullman
FedML
66
148
0
01 May 2018
1