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Private Statistical Estimation via Truncation

Private Statistical Estimation via Truncation

18 May 2025
Manolis Zampetakis
Felix Zhou
ArXivPDFHTML

Papers citing "Private Statistical Estimation via Truncation"

16 / 16 papers shown
Title
Efficient Statistics With Unknown Truncation, Polynomial Time
  Algorithms, Beyond Gaussians
Efficient Statistics With Unknown Truncation, Polynomial Time Algorithms, Beyond Gaussians
Jane H. Lee
Anay Mehrotra
Manolis Zampetakis
56
2
0
02 Oct 2024
Lower Bounds for Private Estimation of Gaussian Covariance Matrices
  under All Reasonable Parameter Regimes
Lower Bounds for Private Estimation of Gaussian Covariance Matrices under All Reasonable Parameter Regimes
V. S. Portella
Nick Harvey
78
5
0
26 Apr 2024
Better and Simpler Lower Bounds for Differentially Private Statistical
  Estimation
Better and Simpler Lower Bounds for Differentially Private Statistical Estimation
Shyam Narayanan
FedML
50
11
0
10 Oct 2023
Robustness Implies Privacy in Statistical Estimation
Robustness Implies Privacy in Statistical Estimation
Samuel B. Hopkins
Gautam Kamath
Mahbod Majid
Shyam Narayanan
70
52
0
09 Dec 2022
Instance-Optimal Differentially Private Estimation
Instance-Optimal Differentially Private Estimation
Audra McMillan
Adam D. Smith
Jonathan R. Ullman
50
6
0
28 Oct 2022
Efficient Truncated Linear Regression with Unknown Noise Variance
Efficient Truncated Linear Regression with Unknown Noise Variance
C. Daskalakis
Patroklos Stefanou
Rui-Min Yao
Emmanouil Zampetakis
23
11
0
25 Aug 2022
Efficient Mean Estimation with Pure Differential Privacy via a
  Sum-of-Squares Exponential Mechanism
Efficient Mean Estimation with Pure Differential Privacy via a Sum-of-Squares Exponential Mechanism
Samuel B. Hopkins
Gautam Kamath
Mahbod Majid
FedML
64
61
0
25 Nov 2021
A Computationally Efficient Method for Learning Exponential Family
  Distributions
A Computationally Efficient Method for Learning Exponential Family Distributions
Abhin Shah
Devavrat Shah
G. Wornell
58
10
0
28 Oct 2021
Computationally and Statistically Efficient Truncated Regression
Computationally and Statistically Efficient Truncated Regression
C. Daskalakis
Themis Gouleakis
Christos Tzamos
Manolis Zampetakis
39
32
0
22 Oct 2020
CoinPress: Practical Private Mean and Covariance Estimation
CoinPress: Practical Private Mean and Covariance Estimation
Sourav Biswas
Yihe Dong
Gautam Kamath
Jonathan R. Ullman
63
116
0
11 Jun 2020
Efficient Statistics, in High Dimensions, from Truncated Samples
Efficient Statistics, in High Dimensions, from Truncated Samples
C. Daskalakis
Themis Gouleakis
Christos Tzamos
Manolis Zampetakis
67
50
0
11 Sep 2018
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
213
6,130
0
01 Jul 2016
Locating a Small Cluster Privately
Locating a Small Cluster Privately
Kobbi Nissim
Uri Stemmer
Salil P. Vadhan
39
54
0
19 Apr 2016
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit
  and Independence Testing
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing
Marco Gaboardi
H. Lim
Ryan M. Rogers
Salil P. Vadhan
61
140
0
07 Feb 2016
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
Ulfar Erlingsson
Vasyl Pihur
Aleksandra Korolova
96
1,992
0
25 Jul 2014
Differentially Private Empirical Risk Minimization
Differentially Private Empirical Risk Minimization
Kamalika Chaudhuri
C. Monteleoni
Anand D. Sarwate
134
1,487
0
01 Dec 2009
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