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Differentially Private Sparse Vectors with Low Error, Optimal Space, and
  Fast Access
v1v2 (latest)

Differentially Private Sparse Vectors with Low Error, Optimal Space, and Fast Access

Conference on Computer and Communications Security (CCS), 2021
18 June 2021
Martin Aumüller
C. Lebeda
Rasmus Pagh
ArXiv (abs)PDFHTMLGithub (415★)

Papers citing "Differentially Private Sparse Vectors with Low Error, Optimal Space, and Fast Access"

8 / 8 papers shown
Optimal Pure Differentially Private Sparse Histograms in Deterministic Linear Time
Optimal Pure Differentially Private Sparse Histograms in Deterministic Linear Time
Florian Kerschbaum
Steven Lee
Hao Wu
FedML
357
0
0
22 Jul 2025
Differentially Private Set Representations
Differentially Private Set RepresentationsNeural Information Processing Systems (NeurIPS), 2025
Sarvar Patel
G. Persiano
Joon Young Seo
Kevin Yeo
419
0
0
28 Jan 2025
Almost linear time differentially private release of synthetic graphs
Almost linear time differentially private release of synthetic graphs
Jingcheng Liu
Jalaj Upadhyay
Zongrui Zou
297
3
0
04 Jun 2024
Fast Private Kernel Density Estimation via Locality Sensitive
  Quantization
Fast Private Kernel Density Estimation via Locality Sensitive QuantizationInternational Conference on Machine Learning (ICML), 2023
Tal Wagner
Yonatan Naamad
Nina Mishra
246
10
0
04 Jul 2023
Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch
Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries SketchACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (PODS), 2023
C. Lebeda
Jakub Tvetek
269
11
0
06 Jan 2023
Improved Utility Analysis of Private CountSketch
Improved Utility Analysis of Private CountSketchNeural Information Processing Systems (NeurIPS), 2022
Rasmus Pagh
M. Thorup
FedML
299
23
0
17 May 2022
Bounded Space Differentially Private Quantiles
Bounded Space Differentially Private Quantiles
Daniel Alabi
Omri Ben-Eliezer
Anamay Chaturvedi
249
20
0
10 Jan 2022
Locally Differentially Private Sparse Vector Aggregation
Locally Differentially Private Sparse Vector AggregationIEEE Symposium on Security and Privacy (IEEE S&P), 2021
Mingxun Zhou
Tianhao Wang
T-H. Hubert Chan
Giulia Fanti
E. Shi
FedML
583
35
0
07 Dec 2021
1
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