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2108.08266
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Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy
5 August 2021
Aleksandra B. Slavkovic
Roberto Molinari
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Papers citing
"Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy"
13 / 13 papers shown
Title
Privacy-preserving parametric inference: a case for robust statistics
Marco Avella-Medina
26
51
0
22 Nov 2019
KNG: The K-Norm Gradient Mechanism
M. Reimherr
Jordan Awan
43
23
0
23 May 2019
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA
Jordan Awan
Ana M. Kenney
M. Reimherr
Aleksandra B. Slavkovic
11
34
0
30 Jan 2019
The Structure of Optimal Private Tests for Simple Hypotheses
C. Canonne
Gautam Kamath
Audra McMillan
Adam D. Smith
Jonathan R. Ullman
46
72
0
27 Nov 2018
Differentially Private Uniformly Most Powerful Tests for Binomial Data
Jordan Awan
Aleksandra B. Slavkovic
53
53
0
23 May 2018
On-Average KL-Privacy and its equivalence to Generalization for Max-Entropy Mechanisms
Yu Wang
Jing Lei
S. Fienberg
34
48
0
08 May 2016
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing
Marco Gaboardi
H. Lim
Ryan M. Rogers
Salil P. Vadhan
52
139
0
07 Feb 2016
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo
Yu Wang
S. Fienberg
Alex Smola
46
248
0
26 Feb 2015
Near-Optimal Algorithms for Differentially-Private Principal Components
Kamalika Chaudhuri
Anand D. Sarwate
Kaushik Sinha
54
153
0
12 Jul 2012
Convergence Rates for Differentially Private Statistical Estimation
Kamalika Chaudhuri
Daniel J. Hsu
FedML
48
50
0
27 Jun 2012
Differential Privacy for Functions and Functional Data
Rob Hall
Alessandro Rinaldo
Larry A. Wasserman
51
180
0
12 Mar 2012
Differentially Private Empirical Risk Minimization
Kamalika Chaudhuri
C. Monteleoni
Anand D. Sarwate
93
1,482
0
01 Dec 2009
A statistical framework for differential privacy
Larry A. Wasserman
Shuheng Zhou
89
482
0
16 Nov 2008
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