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Differentially Private Quantiles
International Conference on Machine Learning (ICML), 2021
16 February 2021
Jennifer Gillenwater
Matthew Joseph
Alex Kulesza
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Papers citing
"Differentially Private Quantiles"
23 / 23 papers shown
Black-Box Differentially Private Nonparametric Confidence Intervals Under Minimal Assumptions
Tomer Shoham
Moshe Shenfeld
Noa Velner-Harris
Katrina Ligett
104
0
0
03 Nov 2025
Federated Learning of Quantile Inference under Local Differential Privacy
Leheng Cai
Qirui Hu
Shuyuan Wu
FedML
168
0
0
26 Sep 2025
Piquant
ε
\varepsilon
ε
: Private Quantile Estimation in the Two-Server Model
Hannah Keller
Jacob Imola
Fabrizio Boninsegna
Rasmus Pagh
A. Chowdhury
142
0
0
17 Sep 2025
Functional Approximation Methods for Differentially Private Distribution Estimation
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Ye Tao
Anand D. Sarwate
FedML
306
1
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
181
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
591
6
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
541
16
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
288
9
0
07 Feb 2024
DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning
S. Giddens
Fan Liu
267
1
0
19 Sep 2023
Differentially Private Histogram, Predecessor, and Set Cardinality under Continual Observation
Monika Henzinger
A. Sricharan
Teresa Anna Steiner
415
7
0
17 Jun 2023
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
International Conference on Machine Learning (ICML), 2023
Vincent Plassier
Mehdi Makni
Aleksandr Rubashevskii
Eric Moulines
Maxim Panov
FedML
369
27
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
306
4
0
24 May 2023
Unbounded Differentially Private Quantile and Maximum Estimation
Neural Information Processing Systems (NeurIPS), 2023
D. Durfee
372
11
0
02 May 2023
Private Statistical Estimation of Many Quantiles
International Conference on Machine Learning (ICML), 2023
Clément Lalanne
Aurélien Garivier
Rémi Gribonval
378
6
0
14 Feb 2023
Learning-Augmented Private Algorithms for Multiple Quantile Release
International Conference on Machine Learning (ICML), 2022
M. Khodak
Kareem Amin
Travis Dick
Sergei Vassilvitskii
FedML
383
5
0
20 Oct 2022
Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions
Neural Information Processing Systems (NeurIPS), 2022
Omri Ben-Eliezer
Dan Mikulincer
Ilias Zadik
FedML
342
8
0
15 Aug 2022
Differentially Private Maximal Information Coefficients
International Conference on Machine Learning (ICML), 2022
John Lazarsfeld
Aaron Johnson
Emmanuel Adéníran
274
3
0
21 Jun 2022
Private Quantiles Estimation in the Presence of Atoms
Information and Inference A Journal of the IMA (JIII), 2022
Clément Lalanne
C. Gastaud
Nicolas Grislain
Aurélien Garivier
Rémi Gribonval
261
8
0
15 Feb 2022
A Joint Exponential Mechanism For Differentially Private Top-
k
k
k
International Conference on Machine Learning (ICML), 2022
Jennifer Gillenwater
Matthew Joseph
Andrés Munoz Medina
Mónica Ribero
531
20
0
28 Jan 2022
Bounded Space Differentially Private Quantiles
Daniel Alabi
Omri Ben-Eliezer
Anamay Chaturvedi
249
20
0
10 Jan 2022
DP-XGBoost: Private Machine Learning at Scale
Cheng Cheng
Wei Dai
221
10
0
25 Oct 2021
Differentially Private Approximate Quantiles
International Conference on Machine Learning (ICML), 2021
Haim Kaplan
Shachar Schnapp
Uri Stemmer
172
23
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
368
17
0
18 Jun 2021
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