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1709.07155
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Local Private Hypothesis Testing: Chi-Square Tests
21 September 2017
Marco Gaboardi
Ryan M. Rogers
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Papers citing
"Local Private Hypothesis Testing: Chi-Square Tests"
36 / 36 papers shown
Query-Efficient Locally Private Hypothesis Selection via the Scheffe Graph
Gautam Kamath
Alireza F. Pour
Matthew Regehr
David P. Woodruff
210
0
0
19 Sep 2025
Differential Privacy for Regulatory Compliance in Cyberattack Detection on Critical Infrastructure Systems
P. Ramanan
H M Mohaimanul Islam
Abhiram Reddy Alugula
151
0
0
11 Aug 2025
Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor
Maryam Aliakbarpour
Zhan Shi
Ria Stevens
Vincent X. Wang
404
0
0
01 Jun 2025
Optimal Algorithms for Augmented Testing of Discrete Distributions
Neural Information Processing Systems (NeurIPS), 2024
Maryam Aliakbarpour
Piotr Indyk
R. Rubinfeld
Sandeep Silwal
329
3
0
01 Dec 2024
Privacy-Optimized Randomized Response for Sharing Multi-Attribute Data
International Symposium on Computers and Communications (ISCC), 2024
Akito Yamamoto
Tetsuo Shibuya
166
3
0
12 Feb 2024
On the Computational Complexity of Private High-dimensional Model Selection
Neural Information Processing Systems (NeurIPS), 2023
Saptarshi Roy
Zehua Wang
Ambuj Tewari
570
1
0
11 Oct 2023
Towards Practical Federated Causal Structure Learning
Zhaoyu Wang
Pingchuan Ma
Shuai Wang
266
12
0
15 Jun 2023
Privacy Aware Experimentation over Sensitive Groups: A General Chi Square Approach
R. Friedberg
Ryan M. Rogers
290
5
0
17 Aug 2022
Data Augmentation MCMC for Bayesian Inference from Privatized Data
Neural Information Processing Systems (NeurIPS), 2022
Nianqiao P. Ju
Jordan Awan
Ruobin Gong
Vinayak A. Rao
337
27
0
01 Jun 2022
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Wanrong Zhang
Y. Mei
Rachel Cummings
222
1
0
10 Apr 2022
Private High-Dimensional Hypothesis Testing
Annual Conference Computational Learning Theory (COLT), 2022
Shyam Narayanan
FedML
457
17
0
03 Mar 2022
One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Hajime Ono
Kazuhiro Minami
H. Hino
171
1
0
15 Feb 2022
Canonical Noise Distributions and Private Hypothesis Tests
Annals of Statistics (Ann. Stat.), 2021
Jordan Awan
Salil P. Vadhan
433
17
0
09 Aug 2021
Goodness-of-fit testing for Hölder continuous densities under local differential privacy
A. Dubois
Thomas B. Berrett
C. Butucea
153
4
0
06 Jul 2021
Inference under Information Constraints III: Local Privacy Constraints
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2021
Jayadev Acharya
C. Canonne
Cody R. Freitag
Ziteng Sun
Himanshu Tyagi
286
40
0
20 Jan 2021
A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis
Italian National Conference on Sensors (INS), 2020
Teng Wang
Xuefeng Zhang
Xuefeng Zhang
Xinyu Yang
381
112
0
11 Oct 2020
Local Differential Privacy and Its Applications: A Comprehensive Survey
Mengmeng Yang
Lingjuan Lyu
Jun Zhao
Tianqing Zhu
Kwok-Yan Lam
315
195
0
09 Aug 2020
Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms
Neural Information Processing Systems (NeurIPS), 2020
Thomas B. Berrett
C. Butucea
315
40
0
26 May 2020
Differentially Private Assouad, Fano, and Le Cam
International Conference on Algorithmic Learning Theory (ALT), 2020
Jayadev Acharya
Ziteng Sun
Huanyu Zhang
FedML
471
71
0
14 Apr 2020
Locally Private Hypothesis Selection
Annual Conference Computational Learning Theory (COLT), 2020
Sivakanth Gopi
Gautam Kamath
Janardhan Kulkarni
Aleksandar Nikolov
Zhiwei Steven Wu
Huanyu Zhang
345
29
0
21 Feb 2020
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit
Jayadev Acharya
C. Canonne
Yanjun Han
Ziteng Sun
Himanshu Tyagi
193
27
0
20 Jul 2019
Collecting and Analyzing Multidimensional Data with Local Differential Privacy
IEEE International Conference on Data Engineering (ICDE), 2019
Ning Wang
Xiaokui Xiao
Yifan Yang
Jun Zhao
S. Hui
Hyejin Shin
Junbum Shin
Ge Yu
308
384
0
28 Jun 2019
Private Identity Testing for High-Dimensional Distributions
Neural Information Processing Systems (NeurIPS), 2019
C. Canonne
Gautam Kamath
Audra McMillan
Jonathan R. Ullman
Lydia Zakynthinou
404
40
0
28 May 2019
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters
International Conference on Machine Learning (ICML), 2019
Jayadev Acharya
Ziteng Sun
409
62
0
28 May 2019
Differentially Private Inference for Binomial Data
Jordan Awan
Aleksandra B. Slavkovic
207
30
0
31 Mar 2019
Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge
Jinyuan Jia
Neil Zhenqiang Gong
358
49
0
05 Dec 2018
Locally Differentially-Private Randomized Response for Discrete Distribution Learning
A. Pastore
Michael C. Gastpar
FedML
271
12
0
29 Nov 2018
The Structure of Optimal Private Tests for Simple Hypotheses
C. Canonne
Gautam Kamath
Audra McMillan
Adam D. Smith
Jonathan R. Ullman
276
87
0
27 Nov 2018
Locally Private Gaussian Estimation
Neural Information Processing Systems (NeurIPS), 2018
Matthew Joseph
Janardhan Kulkarni
Jieming Mao
Zhiwei Steven Wu
FedML
315
39
0
20 Nov 2018
Optimal locally private estimation under
ℓ
p
\ell_p
ℓ
p
loss for
1
≤
p
≤
2
1\le p\le 2
1
≤
p
≤
2
Min Ye
A. Barg
182
7
0
16 Oct 2018
Test without Trust: Optimal Locally Private Distribution Testing
Jayadev Acharya
C. Canonne
Cody R. Freitag
Himanshu Tyagi
343
64
0
07 Aug 2018
A Differentially Private Kernel Two-Sample Test
Anant Raj
H. Law
Dino Sejdinovic
Mijung Park
274
5
0
01 Aug 2018
Differentially Private Uniformly Most Powerful Tests for Binomial Data
Jordan Awan
Aleksandra B. Slavkovic
154
57
0
23 May 2018
Privately Learning High-Dimensional Distributions
Gautam Kamath
Jerry Li
Vikrant Singhal
Jonathan R. Ullman
FedML
387
168
0
01 May 2018
INSPECTRE: Privately Estimating the Unseen
International Conference on Machine Learning (ICML), 2018
Jayadev Acharya
Gautam Kamath
Ziteng Sun
Huanyu Zhang
309
22
0
28 Feb 2018
Locally Private Hypothesis Testing
Or Sheffet
210
56
0
09 Feb 2018
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