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2012.09116
Cited By
On Avoiding the Union Bound When Answering Multiple Differentially Private Queries
16 December 2020
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
FedML
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Papers citing
"On Avoiding the Union Bound When Answering Multiple Differentially Private Queries"
4 / 4 papers shown
Title
Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity
A. F. Pour
Hassan Ashtiani
S. Asoodeh
41
0
0
09 Dec 2023
Certified private data release for sparse Lipschitz functions
Konstantin Donhauser
J. Lokna
Amartya Sanyal
M. Boedihardjo
R. Honig
Fanny Yang
46
3
0
19 Feb 2023
A bounded-noise mechanism for differential privacy
Y. Dagan
Gil Kur
23
22
0
07 Dec 2020
Privately Learning High-Dimensional Distributions
Gautam Kamath
Jerry Li
Vikrant Singhal
Jonathan R. Ullman
FedML
69
148
0
01 May 2018
1