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2102.08244
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Differentially Private Quantiles
16 February 2021
Jennifer Gillenwater
Matthew Joseph
Alex Kulesza
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Papers citing
"Differentially Private Quantiles"
20 / 20 papers shown
Title
Differentially Private Distribution Estimation Using Functional Approximation
Ye Tao
Anand D. Sarwate
FedML
71
0
0
11 Jan 2025
DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows (Technical Report)
Yiping Wang
Yanhao Wang
Cen Chen
65
1
0
12 Jun 2024
Click Without Compromise: Online Advertising Measurement via Per User Differential Privacy
Yingtai Xiao
Jian Du
Shikun Zhang
Qiang Yan
Qiang Yan
Danfeng Zhang
Daniel Kifer
105
2
0
04 Jun 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures
Thanh Tam Nguyen
T. T. Huynh
Zhao Ren
Thanh Toan Nguyen
Phi Le Nguyen
Hongzhi Yin
Quoc Viet Hung Nguyen
157
8
0
31 Mar 2024
Towards Biologically Plausible and Private Gene Expression Data Generation
Dingfan Chen
Marie Oestreich
Tejumade Afonja
Raouf Kerkouche
Matthias Becker
Mario Fritz
SyDa
72
4
0
07 Feb 2024
DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning
S. Giddens
Fan Liu
60
1
0
19 Sep 2023
Differentially Private Histogram, Predecessor, and Set Cardinality under Continual Observation
Monika Henzinger
A. Sricharan
Teresa Anna Steiner
108
3
0
17 Jun 2023
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
Vincent Plassier
Mehdi Makni
Aleksandr Rubashevskii
Eric Moulines
Maxim Panov
FedML
90
17
0
08 Jun 2023
Differentially-Private Decision Trees and Provable Robustness to Data Poisoning
D. Vos
Jelle Vos
Tianyu Li
Z. Erkin
S. Verwer
FedML
31
1
0
24 May 2023
Unbounded Differentially Private Quantile and Maximum Estimation
D. Durfee
82
7
0
02 May 2023
Private Statistical Estimation of Many Quantiles
Clément Lalanne
Aurélien Garivier
Rémi Gribonval
60
6
0
14 Feb 2023
Learning-Augmented Private Algorithms for Multiple Quantile Release
M. Khodak
Kareem Amin
Travis Dick
Sergei Vassilvitskii
FedML
77
4
0
20 Oct 2022
Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions
Omri Ben-Eliezer
Dan Mikulincer
Ilias Zadik
FedML
90
7
0
15 Aug 2022
Differentially Private Maximal Information Coefficients
John Lazarsfeld
Aaron Johnson
Emmanuel Adéníran
26
3
0
21 Jun 2022
Private Quantiles Estimation in the Presence of Atoms
Clément Lalanne
C. Gastaud
Nicolas Grislain
Aurélien Garivier
Rémi Gribonval
38
8
0
15 Feb 2022
A Joint Exponential Mechanism For Differentially Private Top-
k
k
k
Jennifer Gillenwater
Matthew Joseph
Andrés Munoz Medina
Mónica Ribero
173
14
0
28 Jan 2022
Bounded Space Differentially Private Quantiles
Daniel Alabi
Omri Ben-Eliezer
Anamay Chaturvedi
54
17
0
10 Jan 2022
DP-XGBoost: Private Machine Learning at Scale
Cheng Cheng
Wei Dai
45
9
0
25 Oct 2021
Differentially Private Approximate Quantiles
Haim Kaplan
Shachar Schnapp
Uri Stemmer
57
18
0
11 Oct 2021
Non-parametric Differentially Private Confidence Intervals for the Median
Joerg Drechsler
Ira Globus-Harris
Audra McMillan
Jayshree Sarathy
Adam D. Smith
98
13
0
18 Jun 2021
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